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1

Picarra, Mafalda, Marina Angelaki, Güleda Doğan, Marieke Guy, and Claudio Artusio. "Aligning European OA policies with the Horizon 2020 OA policy." UKSG Insights 28, no. 3 (2015): 32–43. https://doi.org/10.1629/uksg.252.

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This article considers that the Horizon 2020 (H2020) Open Access (OA) policy can be adopted as a policy model in European Research Area (ERA) countries for the development and increasing alignment of OA policies. Accordingly, the OA policy landscape in five ERA countries – Greece, Italy, the Netherlands, Turkey and the UK – is assessed and the extent of alignment or divergence of those policies with the H2020 OA policy is examined. The article concludes by considering some of the impacts that aligning OA policies may have and looking at mechanisms that may contribute towards enhancing policy alignment.  Note: the supporting data from this assessment may be found in the following data repository: https://zenodo.org/record/31155.
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Guedj, D., and C. Ramjoué. "European Commission Policy on Open-Access to Scientific Publications and Research Data in Horizon 2020." Biomedical Data Journal 01, no. 1 (2015): 11–14. http://dx.doi.org/10.11610/bmdj.01102.

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3

Rathmanner, Margit. "Workshop Open Access und Open Data in Horizon 2020 – rechtliche Vorgaben und praktische Umsetzung (Wien, 11. Juni 2015)." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 68, no. 2 (2019): 388–90. http://dx.doi.org/10.31263/voebm.v68i2.1166.

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Šimukovič, Elena. "Plan S, Open Access and the potential roles for STS research." Nordic Journal of Science and Technology Studies 8, no. 1 (2020): 27–30. http://dx.doi.org/10.5324/njsts.v8i1.3586.

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The year 2020 plays a highly symbolic role in the world of academic publishing. As the beginning of a new decade, it featured prominently in various research programmes such as “Horizon 2020”, the framework programme for research and innovation of the European Commission, as well as in numerous roadmaps and development goals in various institutions across the globe. Yet, in the recent past, it has also become a target year in many strategic plans for shifting the business of academic publishing from the prevailing journal subscription model towards full and immediate Open Access.
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Austin, Timothy, Kyriaki Bei, Theodoros Efthymiadis, and Elias P. Koumoulos. "Lessons Learnt from Engineering Science Projects Participating in the Horizon 2020 Open Research Data Pilot." Data 6, no. 9 (2021): 96. http://dx.doi.org/10.3390/data6090096.

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Trends in the sciences are indicative of data management becoming established as a feature of the mainstream research process. In this context, the European Commission introduced an Open Research Data pilot at the start of the Horizon 2020 research programme. This initiative followed the success of the Open Access pilot implemented in the prior (FP7) research programme, which thereafter became an integral component of Horizon 2020. While the Open Access phenomenon can reasonably be argued to be one of many instances of web technologies disrupting established business models (namely publication practices and workflows established over several centuries in the case of Open Access), initiatives designed to promote research data management have no established foundation on which to build. For Open Data to become a reality and, more importantly, to contribute to the scientific process, data management best practices and workflows are required. Furthermore, with the scientific community having operated to good effect in the absence of data management, there is a need to demonstrate the merits of data management. This circumstance is complicated by the lack of the necessary ICT infrastructures, especially interoperability standards, required to facilitate the seamless transfer, aggregation and analysis of research data. Any activity aiming to promote Open Data thus needs to overcome a number of cultural and technological challenges. It is in this context that this paper examines the data management activities and outcomes of a number of projects participating in the Horizon 2020 Open Research Data pilot. The result has been to identify a number of commonly encountered benefits and issues; to assess the utilisation of data management plans; and through the close examination of specific cases, to gain insights into obstacles to data management and potential solutions. Although primarily anecdotal and difficult to quantify, the experiences reported in this paper tend to favour developing data management best practices rather than doggedly pursue the Open Data mantra. While Open Data may prove valuable in certain circumstances, there is good reason to claim that managed access to scientific data of high inherent intellectual and financial value will prove more effective in driving knowledge discovery and innovation.
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Illmayer, Klaus. "Openness in Forschungsprojekten: PARTHENOS Standardization Survival Kit (SSK)." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 72, no. 2 (2019): 392–407. http://dx.doi.org/10.31263/voebm.v72i2.3221.

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Die Umsetzung von Open Access und Open Data ist für Horizon 2020 Projekte, die von der Europäischen Kommission gefördert werden, obligat. Überlegungen zu Open Policies und Openness in den Wissenschaften stehen im Mittelpunkt dieses Berichtes, der auf Erfahrungen mit der Erstellung des Standardization Survival Kit (SSK) beruht. Das SSK wurde als ein Tool im Rahmen des Horizon 2020 geförderten Projektes PARTHENOS entwickelt. Daher wird zunächst die Data-Harvesting Plattform von PARTHENOS vorgestellt, um daran die Bedeutung von Openness und Standards zu erläutern. Nach einem Exkurs zu den FAIR Data Prinzipien wird das SSK-Tool beschrieben und wie dieses zu Openness beiträgt. Plädiert wird für eine Dokumentation von Open Workflows und Open Research Methods, wie es mittels dem SSK möglich ist.
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7

Pahor, Dušica. "National strategy for open access to scientific publications and research data in Slovenia 2015–2020 / Nacionalna strategija odprtega dostopa do znanstvenih objav in raziskovalnih podatkov v Sloveniji 2015–2020." Acta Medico-Biotechnica 8, no. 2 (2021): 7–12. http://dx.doi.org/10.18690/actabiomed.119.

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At the beginning of the 21st century, modernization of scientific communication has increasingly become a necessity. So far, there is only limited access to research data. The European Commission therefore started to introduce changes in the field of scientific communication in 2004. The program, Horizon 2020, provides open access to all peer-reviewed and publicly funded publications within European Union (EU) countries (MedOANet, RECODE, PASTEEUR 4OA projects) (1–4).
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8

Ibsen, Claus H., and David Toal. "InDEStruct: engineering advanced heat transfer systems." Open Access Government 36, no. 1 (2022): 234–37. http://dx.doi.org/10.56367/oag-036-10199.

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InDEStruct: engineering advanced heat transfer systems Within the University of Southampton, Atul Singh – also referred to as ESR1 – works on his PhD within a Horizon 2020 Programme project InDEStruct. His scope within this project is to work on optimisation and design methods to improve decision-making in heat exchanger conceptual design, in other words, a more effective design taking into account multidisciplinary aspects of such designs and reducing the experimental cost required to make decisions on new heat exchanger topologies. Open Access Government interviews members of the team of the InDEStruct project, a Horizon 2020 project which works toward inter-disciplinary design approaches for advanced heat transfer systems.
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9

Lucian Alexandru Onisei. "Dissemination of H2020 Research Projects." International Journal of Science and Research Archive 13, no. 2 (2024): 2532–35. https://doi.org/10.30574/ijsra.2024.13.2.2430.

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Disseminating complex scientific research is crucial for Horizon 2020 (H2020) projects to maximize their impact, promote knowledge transfer, and support EU policy goals. This paper examines effective dissemination practices, using case studies from projects like SOCRATES, TARANTULA, NEW-MINE, NEMO, SULTAN, CROCODILE and DEMETER. Emphasis is placed on strategies such as open-access publishing, collaborations with industry, and policy engagement to ensure broad accessibility of research outputs.
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Deori, Maya, Manoj Kumar Verma, and Mohammad Nazim. "Open Access Availability of Indias Scientific Research Funded by National and International Agencies." DESIDOC Journal of Library & Information Technology 42, no. 4 (2022): 234–45. http://dx.doi.org/10.14429/djlit.42.4.17810.

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 Funding has become the most significant element of supportive action for research that has served the research community in numerous ways to improve the advancement and development of society. Scientific research in India is funded by many public and corporate sector institutions and autonomous organisations, NGOs, and regional and international agencies. However, access to publicly funded scientific research literature has been an essential issue of debate among the advocates of the Open Access (OA) movement during the last two decades. This study maps OA availability to India’s research publications funded by national and international agencies. The study applied a scientometric approach using the Scopus database to identify funding research publications available in the OA domain. The findings revealed that 570320 research articles were published by the Indian researchers during 2016-to 2020, of which 150638 (26.41 %) were produced with the financial support of different national and international funding agencies. Of the funded research publications, 44166 (29.32 %) articles were freely available OA to the public with no or fewer restrictions for reuse. Most of the funded research literature is available via green routes of OA, followed by gold and bronze OA. The study also showed that Horizon 2020 and the Ministry of Science, ICT, and Future Planning are the primary funding sources for researchers in India during study period. The study’s findings are helpful for researchers and policymakers to promote OA availability of funded research to researchers for advancing the country’s scientific progress.
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Penev, Lyubomir, Dimitrios Koureas, Quentin Groom, et al. "Biodiversity Community Integrated Knowledge Library (BiCIKL)." Research Ideas and Outcomes 8 (January 26, 2022): e81136. https://doi.org/10.3897/rio.8.e81136.

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BiCIKL is an European Union Horizon 2020 project that will initiate and build a new European starting community of key research infrastructures, establishing open science practices in the domain of biodiversity through provision of access to data, associated tools and services at each separate stage of and along the entire research cycle. BiCIKL will provide new methods and workflows for an integrated access to harvesting, liberating, linking, accessing and re-using of subarticle-level data (specimens, material citations, samples, sequences, taxonomic names, taxonomic treatments, figures, tables) extracted from literature. BiCIKL will provide for the first time access and tools for seamless linking and usage tracking of data along the line: specimens > sequences > species > analytics > publications > biodiversity knowledge graph > re-use.
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Muñoz-Ortiz, Alberto, Carlos Gómez-Rodríguez, and David Vilares. "Contrasting Linguistic Patterns in Human and LLM-Generated News Text." Artificial Intelligence Review 57 (August 23, 2024): 265. https://doi.org/10.1007/s10462-024-10903-2.

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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We acknowledge the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615); SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2020/11); GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and by ERDF, EU; Grant PRE2021-097001 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (predoctoral training grant associated to project PID2020–113230RB-C21); and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). Funding for open access charge: Universidade da Coruña/CISUG.
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Muñoz-Ortiz, Alberto, Carlos Gómez-Rodríguez, and David Vilares. "Contrasting Linguistic Patterns in Human and LLM-Generated News Text." Artificial Intelligence Review 57 (August 23, 2024): 265. https://doi.org/10.1007/s10462-024-10903-2.

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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We acknowledge the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615); SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2020/11); GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and by ERDF, EU; Grant PRE2021-097001 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (predoctoral training grant associated to project PID2020–113230RB-C21); and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). Funding for open access charge: Universidade da Coruña/CISUG.
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Muñoz-Ortiz, Alberto, Carlos Gómez-Rodríguez, and David Vilares. "Contrasting Linguistic Patterns in Human and LLM-Generated News Text." Artificial Intelligence Review 57 (August 23, 2024): 265. https://doi.org/10.1007/s10462-024-10903-2.

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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We acknowledge the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615); SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2020/11); GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and by ERDF, EU; Grant PRE2021-097001 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (predoctoral training grant associated to project PID2020–113230RB-C21); and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). Funding for open access charge: Universidade da Coruña/CISUG.
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15

Muñoz-Ortiz, Alberto, Carlos Gómez-Rodríguez, and David Vilares. "Contrasting Linguistic Patterns in Human and LLM-Generated News Text." Artificial Intelligence Review 57 (August 23, 2024): 265. https://doi.org/10.1007/s10462-024-10903-2.

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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We acknowledge the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615); SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2020/11); GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and by ERDF, EU; Grant PRE2021-097001 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (predoctoral training grant associated to project PID2020–113230RB-C21); and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). Funding for open access charge: Universidade da Coruña/CISUG.
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Muñoz-Ortiz, Alberto, Carlos Gómez-Rodríguez, and David Vilares. "Contrasting Linguistic Patterns in Human and LLM-Generated News Text." Artificial Intelligence Review 57 (August 23, 2024): 265. https://doi.org/10.1007/s10462-024-10903-2.

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Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. We acknowledge the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615); SCANNER-UDC (PID2020-113230RB-C21) funded by MICIU/AEI/10.13039/501100011033; Xunta de Galicia (ED431C 2020/11); GAP (PID2022-139308OA-I00) funded by MICIU/AEI/10.13039/501100011033/ and by ERDF, EU; Grant PRE2021-097001 funded by MICIU/AEI/10.13039/501100011033 and by ESF+ (predoctoral training grant associated to project PID2020–113230RB-C21); and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). Funding for open access charge: Universidade da Coruña/CISUG.
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Stechmann, Bahne, and Charlotte Wit. "Abstract 5319: EU-OPENSCREEN - An open-access initiative in chemical biology to support anti-cancer drug discovery." Cancer Research 83, no. 7_Supplement (2023): 5319. http://dx.doi.org/10.1158/1538-7445.am2023-5319.

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Abstract Over the past two decades, an increasing number of small molecule drugs that target unique molecular changes underlying a specific cancer have been approved, and small molecule drugs represent a major therapeutic class for cancer treatment. Chemical ‘probes’ are also indispensable tools to advance our understanding of pathologies at the molecular and cellular level and to validate novel drug targets. A major bottleneck in identifying and developing these chemical compounds in academia is often access to robust disease-relevant assays, high-throughput screening platforms, comprehensive screening libraries, medicinal expertise for the hit-to-lead optimization. In order to democratize access to these resources for a broader scientific community, the publicly funded EU-OPENSCREEN (www.eu-openscreen.eu) initiative has been established with the aim to accelerate drug discovery efforts in an open-access setting in collaboration with researchers from academia and industry. EU-OPENSCREEN’s 30 expert centers offer access to their cancer target-based and phenotypic drug screening expertise, capabilities in developing disease-relevant assays and hit-to-lead optimization capabilities. The identified bioactive ‘hit’ compounds will be progressed into high-quality chemical starting points to be further developed into drug leads or chemical probes for the elucidation of mechanisms of cancer onset, progression, resistance and effects of drug therapy. All generated tool compounds and associated bioactivity data are made available to the global scientific community. Here we will present an overview of anti-cancer drug discovery projects of EU-OPENSCREEN and explain the opportunities and benefits for other international scientists to collaboratively develop novel anti-cancer drug leads and chemical probes. EU-OPENSCREEN receives funding from the European Union's Horizon 2020 and Horizon Europe research and innovation programs under grant agreements No 654248 and 101058620. Citation Format: Bahne Stechmann, Charlotte Wit. EU-OPENSCREEN - An open-access initiative in chemical biology to support anti-cancer drug discovery. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5319.
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Egloff, Willi, David Patterson, Donat Agosti, and Gregor Hagedorn. "Open exchange of scientific knowledge and European copyright: The case of biodiversity information." ZooKeys 414 (June 6, 2014): 109–35. https://doi.org/10.3897/zookeys.414.7717.

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<b>Background. </b>The 7th Framework Programme for Research and Technological Development is helping the European to prepare for an integrative system for intelligent management of biodiversity knowledge. The infrastructure that is envisaged and that will be further developed within the Programme “Horizon 2020” aims to provide open and free access to taxonomic information to anyone with a requirement for biodiversity data, without the need for individual consent of other persons or institutions. Open and free access to information will foster the re-use and improve the quality of data, will accelerate research, and will promote new types of research. Progress towards the goal of free and open access to content is hampered by numerous technical, economic, sociological, legal, and other factors. The present article addresses barriers to the open exchange of biodiversity knowledge that arise from European laws, in particular European legislation on copyright and database protection rights.We present a legal point of view as to what will be needed to bring distributed information together and facilitate its re-use by data mining, integration into semantic knowledge systems, and similar techniques. We address exceptions and limitations of copyright or database protection within Europe, and we point to the importance of data use agreements. We illustrate how exceptions and limitations have been transformed into national legislations within some European states to create inconsistencies that impede access to biodiversity information.<b>Conclusions</b>. The legal situation within the EU is unsatisfactory because there are inconsistencies among states that hamper the deployment of an open biodiversity knowledge management system. Scientists within the EU who work with copyright protected works or with protected databases have to be aware of regulations that vary from country to country. This is a major stumbling block to international collaboration and is an impediment to the open exchange of biodiversity knowledge. Such differences should be removed by unifying exceptions and limitations for research purposes in a binding, Europe-wide regulation.
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Abousahl, Said, Andrea Bucalossi, Victor Esteban Gran, and Manuel Martin Ramos. "JRC in Euratom Research and Training Programme − 2014–2020." EPJ Nuclear Sciences & Technologies 6 (2020): 45. http://dx.doi.org/10.1051/epjn/2019036.

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The Euratom Research and Training Programme 2014–2018 and its extension 2019–2020 (the Euratom Programme) is implemented through direct actions in fission − i.e. research performed by the Commission's Joint Research Centre (JRC), and through indirect actions in fission– i.e. via competitive calls for proposals, and in fusion − i.e. through a comprehensive named-beneficiary co-fund action managed by the Commission's Directorate-General for Research &amp; Innovation (RTD). The general objective of the Programme is “to pursue nuclear research and training activities with an emphasis on the continuous improvement of nuclear safety, security and radiation protection, in particular to potentially contribute to the long-term decarbonisation of the energy system in a safe, efficient and secure way.” The Programme is an integral part of Horizon 2020, the EU Framework Programme for Research and Innovation. The direct actions implemented by the JRC constitute an important part of the Euratom Programme and pursue specific objectives covering: nuclear safety, radioactive waste management, decommissioning, emergency preparedness; nuclear security, safeguards and non-proliferation; standardisation; knowledge management; education and training; and support to the policy of the Union on these fields. The JRC multi-annual work programme for nuclear activities fully reflects the aforementioned objectives. It is structured in about 20 projects, and allocates 48% of its resources to nuclear safety, waste management, decommissioning and emergency preparedness, 33% to nuclear security, safeguards and non-proliferation, 12% to reference standards, nuclear science and non-energy applications and 7% to education, training and knowledge management. To ensure that direct actions are in line with and complement the research and training needs of Member States, JRC is continuously interacting with the main research and scientific institutions in the EU, and actively participating in several technological platforms and associations. JRC also participates as part of the consortia in indirect actions, which allows JRC scientist to engage in top level scientific research, and yields maintaining and further developing JRC's scientific excellence. At the same time, the members of the consortia can have access to unique research infrastructure. The participation of JRC in indirect actions can be improved by exploiting synergies inside the Euratom Programme, and also with the future Horizon Europe Framework Programme. In preparation of the next Euratom Programme 2021–2025, two pilot projects on knowledge management and on open access to JRC research infrastructure will explore and test this improved involvement of JRC in indirect actions. The paper highlights some of the achievements of recent JRC direct actions with a focus on the interaction with EU MS research organisations, as well as some of the most important elements of the Commission Proposal for the next (2021–2025) Euratom Programme, with a focus on the new positioning of the JRC as regards its participation in indirect actions.
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Morea, Fabio, Alberto Soraci, and Domenico De Stefano. "Mapping leadership and communities in EU-funded research through network analysis." Open Research Europe 4 (December 18, 2024): 268. https://doi.org/10.12688/openreseurope.18544.1.

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Background Horizon 2020 and Horizon Europe are flagship programs of the European Union aimed at supporting research and innovation, fostering collaboration among companies, academic institutions, and research organizations. Comprehensive data on projects, objectives, participants, funding details, and results of Horizon projects is available through the open access portal CORDIS (Community Research and Development Information Service). This paper introduces a novel methodology for utilizing CORDIS data to reveal collaborations, leadership roles, and their evolution over time. The case study focuses on the “hydrogen energy” sector, and specifically on the North Adriatic Hydrogen Valley project. Methods The methodology is based on network analysis. Data is downloaded from the CORDIS portal, enriched, segmented by year and transformed into weighted networks representing collaborations between organizations. Centrality measures are used to assess the influence of individual organizations, while community detection algorithms is used to identify stable collaborations. Temporal analysis tracks the evolution of these roles and communities over time. To ensure robust and reliable results, the methodology addresses challenges such as input-ordering bias and result variability, while the exploration of the solution space enhances the accuracy of identified collaboration patterns. Results A case study focusing on Horizon projects in the hydrogen energy sector demonstrates the application of this methodology, revealing the emergence of key leaders and stable communities, and highlighting significant collaboration within the sector. Conclusions The proposed methodology effectively identifies influential organizations and tracks the stability of research collaborations. The insights gained are valuable for policy-makers and organizations seeking to foster innovation through sustained partnerships. This approach can be extended to other sectors, offering a framework for understanding the impact of EU research funding on collaboration and leadership dynamics.
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Rodrigues, Eloy. "Open Access to Publications and Research Data in Horizon 2020: What Are the Requirements and How Can Institutional Repositories and OpenAIRE Help to Meet Them?" Digital Presentation and Preservation of Cultural and Scientific Heritage 4 (September 30, 2014): 353–60. http://dx.doi.org/10.55630/dipp.2014.4.46.

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Wałek, Anna. "Data Librarian and Data Steward – New Tasks and Responsibilities of Academic Libraries in the Context of Open Research Data Implementation in Poland." Przegląd Biblioteczny 87, no. 4 (2019): 497–512. http://dx.doi.org/10.36702/pb.634.

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Thesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the Horizon 2020 Programme. In 2018, research-funding institutions were associated in the Plan S document issued by CoalitionS ,which aims to accelerate the transition to full and immediate OA to publications from publicly funded research until January 2021. Academic libraries have always been pioneers in implementing OA to research, creating the necessary tools (platforms and repositories), and preparing training workshops for researchers. OA policy implementation, including both access to research resources and data, is accelerating. That is why the role of academic libraries and academic librarians has become crucial. The article presents how library services and the scope of tasks of their employees change in connection with the introduction of open access policies for research data in Poland. Research methods – A critical review of the literature was used to analyse the content of foreign and Polish LIS literature published in the years 2009-2019. In addition, official documents issued by the European Commission were analysed, as well as websites devoted to Open Research Data (ORD). Results and conclusions – Some new specialisations in librarianship have been introduced – e.g. a data librarian who is responsible not only for academic staff training sessions on Open Research Data, but also for assistance for research teams in the field of data management and data curation. In the future, academic libraries will be responsible for coordinating the work of data stewards responsible for supporting the process of research data creating and managing at university departments and in research teams.
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Di Maria, Riccardo, and Rizart Dona. "ESCAPE Data Lake." EPJ Web of Conferences 251 (2021): 02056. http://dx.doi.org/10.1051/epjconf/202125102056.

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The European-funded ESCAPE project (Horizon 2020) aims to address computing challenges in the context of the European Open Science Cloud. The project targets Particle Physics and Astronomy facilities and research infrastructures, focusing on the development of solutions to handle Exabyte-scale datasets. The science projects in ESCAPE are in different phases of evolution and count a variety of specific use cases and challenges to be addressed. This contribution describes the shared-ecosystem architecture of services, the Data Lake, fulfilling the needs in terms of data organisation, management, and access of the ESCAPE community. The Pilot Data Lake consists of several storage services operated by the partner institutes and connected through reliable networks, and it adopts Rucio to orchestrate data management and organisation. The results of a 24-hour Full Dress Rehearsal are also presented, highlighting the achievements of the Data Lake model and of the ESCAPE sciences.
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Pasmor, Yuliya, and Margarita Kulyk. "Information technologies and resources of open science: bibliometric, scientometric vision." Law and innovations, no. 3 (31) (October 2, 2020): 24–33. http://dx.doi.org/10.37772/2518-1718-2020-3(31)-4.

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Problem setting. Today our country joins the European Research Area, in particular, taking into account the experience and successful practices of the European Union in open science, cooperation in digital projects, ensuring access of Ukrainian scientists to international databases, electronic journals, scientific and educational networks and scientometric systems and platforms. Some analysis issues of the state and prospects of the national system of open science development, the application of information technologies and open science resources for scientometric and bibliometric analysis of modern trends in scientific communication, don`t lose their relevance, were and remain in the center of attention of foreign and national scientists, specialists, practitioners, such as: S. Glibko, Y. Pasmor, A. Strizhkova. The target of this article is to define tasks and directions concerning scientometric and bibliometric definition of modern problems of scientific activity on the basis of the analysis. Article`s main body. In the context of Ukraine’s solution of tasks and implementation of long-term plans for integration of achievements and obtainings of scientists into the European information space, EU development strategy until 2020 is aimed at «Innovation Union» and at building open innovation. It seems convincing that the concept of open access has become the basis for the emergence of a number of projects, which were realised in the paradigm of open science through the joint use and dissemination of research results, ideas, innovations for global progress, development and presence of Ukraine in the world scientific community. Conclusions and prospects for the development. 44.8 % of respondents said that scientometrics is very important. 89.6 % support scientometrics as a new but necessary way to measure scientific achievements. Therefore, in the current trends of global technologies of open science, natural transformations of society, the evolution of forms and research methodologies are obvious. In the paradigm of open innovations, which are also based on scientometric, bibliometric indicators and resources of open science, the following issues are relevant: 1) providing grant support for the best projects of Ukrainian scientists within the competition of the National Research Foundation; 2) implementation of measures for Ukraine accession to the grant program «Horizon Europe»; 3) continuation of work on the creation of the National Scientific Information System «URIS»; 4) stimulation of activities in the field of technology transfer to provide more transparency and accessibility to national science; 5) implementation of a pilot project of the creation a network of startup-school-incubator-accelerator on the basis of higher education institutions and research institutions.
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Kaivo-oja, Jari Roy Lee, and Jari Stenvall. "A Critical Reassessment: The European Cloud University Platform and New Challenges of the Quartet Helix Collaboration in the European University System." European Integration Studies 1, no. 16 (2022): 9–23. http://dx.doi.org/10.5755/j01.eis.1.16.31353.

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The European Commission has presented how it intends to give Europe a lead in the data-driven economy by enabling cloud-based services and world-class infrastructures for industry, scientists, and public services. In 2011 we discussed and proposed the cloud university platform for the European Union in the European Integration Studies. The purpose of the study is to deliver a critical reassessment of the European Cloud University Platform. Today a new European Open Science Cloud (EOSC) will offer Europe's 1.7 million researchers and 70 million science and technology professionals a virtual environment to store, share and re-use the large volumes of information generated by the big data revolution. The EOSC will be underpinned by the European Data Infrastructure, deploying the high-bandwidth networks and super-computer capacity necessary to effectively access and process large datasets stored in the cloud. There is also a target to build a single market for the Internet of Things: with the right standards for interoperability, and open cross-sector platforms for IoT devices and services to connect seamlessly, and scale-up, up anywhere in the EU. Our assessment is focused on the European Open Science Cloud (EOSC) and its operational functioning and implementation process. The study is based on conventional assessment methods and tools. The methodology is a mostly mixed methodology (with both qualitative and quantitative data analytics) and it pays attention to argumentation logic and actual policy planning process and operational implementation of the EOSC. The role of Research Infrastructures (RIs), as well as cross-border innovation management approach are emphasized in recent transnational European research and innovation policy. Support for RIs form important pillars in the Horizon 2020-framework, as well as in the Horizon Europe-framework based on the idea that modern science requires unique global competitive capabilities, which individual institutions, or even individual European countries, often cannot provide by themselves. There are very good reasons to perform a critical assessment, because according to the European Cloud Initiative, over the coming 5 years, the European Commission will put forward proposals to meet the €4.7 billion investment need to integrate and consolidate data infrastructure. These vital proposals will bring together the EU and other sources, including Member States and private investments. By 2017, all scientific data produced by projects under the €77 billion within the Horizon 2020 research and innovation programme will become open by default to ensure that the scientific community can re-use the enormous amount of data they generate. This change is not marginal and needs more reflective discussions. The primary database of reassessment is the documents of the European Open Science Cloud (EOSC) and (1) associated European Commission work programme (overview of institution-wide deliverables), (2) the strategic plan (department strategy, objectives for 2016-2020) and (3) other EU management plans and scientific discussion associated with platform economy research. These EU documents were published after our original EIS article. The key results of critical reassessment are: (1) There are concrete needs to strengthen links between the European Open Science Cloud, Industry 4.0 strategy and Industry 4.0 Curriculum in Europe, (2) the concept of platform needs more discussion in the future developments of the European Open Science Cloud (EOSC), (3) country-level university and research community participation in the EOSC requires more discussion and more updated operational implementation plans and programs, and (4) there is need to plan symbiotic digitalized innovation eco-system policy and economic growth policy framework for the European Union. We summarise our critical reassessment with a critical note that there are big integration challenges of the European Open Science Cloud. Keywords: European Open Science Cloud, Big Data, Industry 4.0, Higher education, European integration, Digitalization, Platform economy, Open science policy, Open innovation paradigm, Collaboration framework of European universities, Data governance, Digital platforms, Data infrastructure, European data politics, Data policy
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Jose, Kevin. "Vestas Aircoil: Key insights from successfully bridging the gap between academia and industry." Open Access Government 39, no. 1 (2023): 244–46. http://dx.doi.org/10.56367/oag-039-10448.

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Vestas Aircoil: Key insights from successfully bridging the gap between academia and industry Open Access Government engages in a conversation with Kevin Jose, a recently graduated PhD student who concluded his research and successfully defended his thesis at the University of Southampton. In this interview, Kevin shares his insights on transitioning from academia to industry. As part of the InDEStruct project, which received funding from the European Union’s Horizon 2020 research and innovation programme through the Marie Skłodowska-Curie grant, Kevin Jose became the first among his four engineering colleagues to complete his work at Vestas aircoil and defend his PhD thesis. Vestas aircoil is currently expanding its research and development facilities and activities in Denmark, actively engaging interns and PhD students to bridge the gap between academia and industry. In this article, Kevin Jose and his colleagues at Vestas aircoil candidly discuss their experiences, insights, and the outcomes of Kevin’s research in academia and industry.
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Mergen, Patricia, Mazon Miguel Rey, and Dale Robertson. "Biodiversity Informatics: A success story for the long-term financial sustainability of the European Open Science Cloud (EOSC)." Biodiversity Information Science and Standards 6 (August 3, 2022): e91207. https://doi.org/10.3897/biss.6.91207.

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The European Open Science Cloud's (EOSC) ambition to provide European researchers, innovators, companies, and citizens with a federated and open multi-disciplinary environment where they can publish, find and reuse data, tools and services for research, innovation, and educational purposes. To enable this, EOSC promotes the use of the FAIR (Findable, Accessible, Interoperable and Re-usable) principles. The EOSC Sustainability Working Group under the EOSC Secretariat published the FAIR Lady Report (European Commission, Directorate-General for Research and Innovation, 2020), formulating recommendations for sustainability in the form of a Minimal Viable EOSC (MVE) including criteria for its sustainable implementation, formed by three essential components:EOSC Core, containing the minimum set of components necessary to provide researchers with the means to discover, share, access and reuse data and services;ESOC Exchange, a marketplace built on top of the EOSC Core to extend the set of public and private providers, andEOSC Data federation.The EOSC Association was established in July 2020 as the legal entity to govern EOSC. The Association appointed several Advisory Groups to provide recommendations towards the implementation of EOSC, including two Task Forces on Long Term Data Preservation and on the Financial Sustainability for Sustaining EOSC. This presentation will focus on the Financial Sustainability Task Force. The Task Force formed three \"Working Streams\" following the recommendation of the FAIR Lady Report to tackle the EOSC Core, Exchange, and Data Federation in smaller groups. Within the Data Federation Working Stream, the experts have identified many thematic data federations that have exisisted for quite some time, notably in environmental sciences, biodiversity, and social sciences. The case of Biodiversity Informatics is presented here as one of these sucess stories, retracing the history of major data federations such as GBIF (Global Biodiversity Information Facility), the CoL (Catalogue of Life), BHL (Biodiversity Hertiage Library) and how they managed to move from community-driven initiatitves to structurally funded research infrastructures supported by national and international governmental authorities with a long term perspective, leading to the establishment of infrastructures like the Distributed System of Scientific Collections (DiSSCo) and LifeWatch.This presentation will also address the essential contributions of associations like TDWG (Biodiversity Information Standards) and CETAF (Consortium of European Taxonomic Facilities) to achieving long-term sustainability and on how to successfully obtain complementary funds from EU projects in Horizon 2020 and its successor, Horizon Europe, with programs such as Synthesis of Systematic Resources (SYNTHESYS), DiSSCo Prepare, Biodiversity Community Integrated Knowledge Library (BiCiKL), and Transforming European Taxonomy through Training, Research, and Innovations (TETTRIs), to name a few.
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De, Donato Lorenzo, Francesco Flammini, Stefano Marrone, et al. "A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance." IEEE Access 10 (June 24, 2022): 65376–400. https://doi.org/10.1109/ACCESS.2022.3183102.

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<strong>Abstract:</strong> Within Artificial Intelligence, Deep Learning (DL) represents a paradigm that has been showing unprecedented performance in image and audio processing by supporting or even replacing humans in defect and anomaly detection. The railway sector is expected to benefit from DL applications, especially in predictive maintenance applications, where smart audio and video sensors can be leveraged yet kept distinct from safety-critical functions. Such separation is crucial, as it allows for improving system dependability with no impact on its safety certification. This is further supported by the development of DL in other transportation domains, such as automotive and avionics, opening for knowledge transfer opportunities and highlighting the potential of such a paradigm in railways. In order to summarize the recent state-of-the-art while inquiring about future opportunities, this paper reviews DL approaches for the analysis of data generated by acoustic and visual sensors in railway maintenance applications that have been published until August 31st, 2021. In this paper, the current state of the research is investigated and evaluated using a structured and systematic method, in order to highlight promising approaches and successful applications, as well as to identify available datasets, current limitations, open issues, challenges, and recommendations about future research directions. &nbsp; <strong>Fundings and Disclaimer:</strong> This research has received funding from the Shift2Rail Joint Undertaking (JU) under grant agreement No 881782 RAILS (Roadmaps for Artificial Intelligence (A.I.) integration in the raiL Sector). The JU receives support from the European Union&rsquo;s Horizon 2020 research and innovation programme and the Shift2Rail JU members other than the Union. The information and views set out in this document are those of the author(s) and do not&nbsp;necessarily reflect the official opinion of Shift2Rail Joint Undertaking. The JU does not&nbsp;guarantee the accuracy of the data included in this document. Neither the JU nor any person&nbsp;acting on the JU&rsquo;s behalf may be held responsible for the use which may be made of the&nbsp;information contained therein. &nbsp; <strong>Publication Notes:</strong> This Journal Article is available in Open Access at:&nbsp;https://ieeexplore.ieee.org/document/9795283
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Toulemonde, Charles, Alice Seibert, Eric Colineau, et al. "Supporting trans-national access to key nuclear research infrastructures – OFFERR and JRC OASIS: two complementary projects – One goal." EPJ Nuclear Sciences & Technologies 11 (2025): 32. https://doi.org/10.1051/epjn/2025027.

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The OFFER and OASIS projects both provide transnational access to key nuclear research infrastructures. Since September 2022, the OFFERR project, funded by Horizon Europe/Euratom, supports the SNETP Association by providing R&amp;D experts access to key nuclear research infrastructures across Europe. It addresses financial and logistical barriers that hinder nuclear research by offering a platform for financial support and access to more than 230 experimental facilities. Researchers can submit applications through the OFFERR Call Platform, ensuring eligible projects receive necessary funding and access. This initiative aims to accelerate innovation in nuclear energy by bridging the gap between research ideas and advanced facilities, adhering to EU regulations and fostering international collaboration. The OASIS project is funded by an Administrative Arrangement between the Directorate General for Research and Innovation (DG RTD) and JRC since February 2020 and aims at enhancing open access to JRC's nuclear facilities (11 out of 16 are opened) and the associated technical support. So in the OASIS project, JRC makes available its nuclear research infrastructures to external users free of charge while DG RTD provides their financial support to eligible users to cover their travel and subsistence costs. This allows an optimal use of JRC's unique facilities and nuclear materials not available to European scientists at their home institutions and results in scientific excellence in research that could otherwise not be performed. With a large participation of students and young scientists, OASIS also contributes to the training of the next generation of European scientists in various nuclear fields. Whereas the two projects have one goal, they follow complementary approaches.
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Lin, Shuqi, Leon Boegman, Shiliang Shan, and Ryan Mulligan. "An automatic lake-model application using near-real-time data forcing: development of an operational forecast workflow (COASTLINES) for Lake Erie." Geoscientific Model Development 15, no. 3 (2022): 1331–53. http://dx.doi.org/10.5194/gmd-15-1331-2022.

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Abstract. For enhanced public safety and water resource management, a three-dimensional operational lake hydrodynamic forecasting system, COASTLINES (Canadian cOASTal and Lake forecastINg modEl System), was developed. The modeling system is built upon the three-dimensional Aquatic Ecosystem Model (AEM3D) model, with predictive simulation capabilities developed and tested for a large lake (i.e., Lake Erie). The open-access workflow derives model forcing, code execution, post-processing, and web-based visualization of the model outputs, including water level elevations and temperatures, in near-real time. COASTLINES also generates 240 h predictions using atmospheric forcing from 15 and 25 km horizontal-resolution operational meteorological products from the Environment Canada Global Deterministic Forecast System (GDPS). Simulated water levels were validated against observations from six gauge stations, with model error increasing with forecast horizon. Satellite images and lake buoys were used to validate forecast lake surface temperature and the water column thermal stratification. The forecast lake surface temperature is as accurate as hindcasts, with a root-mean-square deviation &lt;2 ∘C. COASTLINES predicted storm surges and up-/downwelling events that are important for coastal flooding and drinking water/fishery management, respectively. Model forecasts are available in real time at https://coastlines.engineering.queensu.ca/ (last access: January 2022​​​​​​​). This study provides an example of the successful development of an operational forecasting workflow, entirely driven by open-access data, that may be easily adapted to simulate aquatic systems or to drive other computational models, as required for management and public safety.
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Penev, Lyubomir, Dimitrios Koureas, Quentin Groom, et al. "Towards Interlinked FAIR Biodiversity Knowledge: The BiCIKL perspective." Biodiversity Information Science and Standards 5 (September 10, 2021): e74233. https://doi.org/10.3897/biss.5.74233.

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The Horizon 2020 project Biodiversity Community Integrated Knowledge Library (<u>BiCIKL</u>) (started 1st of May 2021, duration 3 years) will build a new European community of <u>key research infrastructures</u>, researchers, citizen scientists and other stakeholders in biodiversity and life sciences. Together, the BiCIKL <u>14 partners</u> will solidify open science practices by providing access to data, tools and services at each stage of, and along the entire biodiversity research and data life cycle (specimens, sequences, taxon names, analytics, publications, biodiversity knowledge graph) (Fig. 1, see also the BiCIKL kick-off presentation through Suppl. material 1), in compliance with the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. The existing services provided by the participating infrastructures will expand through development and adoption of shared, common or interoperable domain standards, resulting in liberated and enhanced flows of data and knowledge across these domains.BiCIKL puts a special focus on the biodiversity literature. Over the span of the project, BiCIKL will develop new methods and workflows for semantic publishing and integrated access to harvesting, liberating, linking, and re-using sub-article-level data extracted from literature (i.e., specimens, material citations, sequences, taxonomic names, taxonomic treatments, figures, tables).Data linkages may be realised with different technologies (e.g., data warehousing, linking between FAIR Data Objects, Linked Open Data) and can be bi-lateral (between two data infrastructures) or multi-lateral (among multiple data infrastructures). The main challenge of BiCIKL is to design, develop and implement a FAIR Data Place (FDP), a central tool for search, discovery and management of interlinked FAIR data across different domains.The key final output of BiCIKL will the future Biodiversity Knowledge Hub (BKH), a one-stop portal, providing access to the BiCIKL services, tools and workflows, beyond the lifetime of the project.
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Robledo, Cristian, Francesca Sallicati, Gaël de Chalendar, et al. "An open-source natural language processing toolkit to support software development: addressing automatic bug detection, code summarisation and code search." Open Research Europe 2 (March 14, 2022): 37. http://dx.doi.org/10.12688/openreseurope.14507.1.

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This paper aims to introduce the innovative work carried out in the Horizon 2020 DECODER project – acronym for “DEveloper COmpanion for Documented and annotatEd code Reference” – (Grant Agreement no. 824231) by linking the fields of natural language processing (NLP) and software engineering. The project as a whole addresses the development of a framework, namely the Persistent Knowledge Monitor (PKM), that acts as a central infrastructure to store, access, and trace all the data, information and knowledge related to a given software or ecosystem. This meta-model defines the knowledge base that can be queried and analysed by all the tools integrated and developed in DECODER. Besides, the DECODER project offers a friendly user interface where each of the predefined three roles (i.e., developers, maintainers and reviewers) can access and query the PKM with their personal accounts. The paper focuses on the NLP tools developed and integrated in the PKM, namely the deep learning models developed to perform variable misuse, code summarisation and semantic parsing. These were developed under a common work package – “Activities for the developer” – intended to precisely target developers, who can perform tasks such as detection of bugs, automatic generation of documentation for source code and generation of code snippets from natural languages instructions, among the multiple functionalities that DECODER offers. These tools assist and help the developers in the daily work, by increasing their productivity and avoiding loss of time in tedious tasks such as manual bug detection. Training and validation were conducted for four use cases in Java, C and C++ programming languages in order to evaluate the performance, suitability, usability, etc. of the developed tools.
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Robledo, Cristian, Francesca Sallicati, Gaël de Chalendar, et al. "An open-source natural language processing toolkit to support software development: addressing automatic bug detection, code summarisation and code search." Open Research Europe 2 (October 27, 2023): 37. http://dx.doi.org/10.12688/openreseurope.14507.2.

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This paper aims to introduce the innovative work carried out in the Horizon 2020 DECODER project – acronym for “DEveloper COmpanion for Documented and annotatEd code Reference” – (Grant Agreement no. 824231) by linking the fields of natural language processing (NLP) and software engineering. The project as a whole addresses the development of a framework, namely the Persistent Knowledge Monitor (PKM), that acts as a central infrastructure to store, access, and trace all the data, information and knowledge related to a given software or ecosystem. This meta-model defines the knowledge base that can be queried and analysed by all the tools integrated and developed in DECODER. Besides, the DECODER project offers a friendly user interface where each of the predefined three roles (i.e., developers, maintainers and reviewers) can access and query the PKM with their personal accounts. The paper focuses on the NLP tools developed and integrated in the PKM, namely the deep learning models developed to perform variable misuse, code summarisation and semantic parsing. These were developed under a common work package – “Activities for the developer” – intended to precisely target developers, who can perform tasks such as detection of bugs, automatic generation of documentation for source code and generation of code snippets from natural languages instructions, among the multiple functionalities that DECODER offers. These tools assist and help the developers in the daily work, by increasing their productivity and avoiding loss of time in tedious tasks such as manual bug detection. Training and validation were conducted for four use cases in Java, C and C++ programming languages in order to evaluate the performance, suitability, usability, etc. of the developed tools.
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Ricotta, Francesco, Mariacarmela Passarelli, and Angelo Baccelloni. "Empowering Entrepreneurship through High-growth Firms: Insights from a Decade-long Bibliometric Analysis." CORPORATE GOVERNANCE AND RESEARCH & DEVELOPMENT STUDIES, no. 1 (May 2025): 63–76. https://doi.org/10.3280/cgrds1-2025oa19169.

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In Italy, the debate on industrial development and economic growth incentives highlights several key themes. Family capitalism celebrated for its resilience, is simultaneously critiqued for curbing innovation and growth potential (Colli et al., 2003; Gonz&amp;aacute;lez et al., 2012; Yanagisako, 2020); Medium-Sized Enterprises stand out for their competitiveness, yet their representation ? only 0.5% of firms ? limits their macroeconomic impact (OECD, 2012). Meanwhile, innovation, a cornerstone of sustainable growth, remains stifled by insufficient entrepreneurial support and inadequate public incentives. Finally, capital shortages perpetuate a systemic barrier to industrial expansion, further constraining the nation's economic trajectory. Within this environment, High-Growth Firms (HGFs), or &amp;quot;Gazelles,&amp;quot; exhibit exceptional competitiveness despite comprising just 0.2% of manufacturing and 0.4% of service firms in Italy. Defined as firms with over 10 employees and annual employment growth exceeding 20% for three consecutive years, HGFs have been extensively studied (Birch, 1981; Henrekson and Johansson, 2010) yet key growth drivers and the role of innovation ecosystems remain underexplored. To address this, a bibliometric analysis of 2012-2021 publications identified 283 highly cited articles, segmented into pre- and post-Industry 4.0/Horizon 2020 periods. Findings highlight three drivers of HGF competitiveness: technology investment for productivity, knowledge networks via open innovation, reskilling initiatives for human capital. Industry 4.0 technologies have expanded expertise access, reduced market entry barriers, and emphasized circular economy practices, fostering ambidextrous growth. To sustain HGFs, industrial policies must adapt and expand to meet innovation demands, leveraging these insights to replicate success across evolving economic landscapes.
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Vanpeene, Victor, Jakub Drnec, Tobias Schulli, Ennio Capria, and Julie Villanova. "Teesmat an Open Innovation Test Bed for Electrochemical Devices: Example of X-Ray Nano-Tomography As Characterization Tool for Battery Analysis." ECS Meeting Abstracts MA2022-01, no. 1 (2022): 54. http://dx.doi.org/10.1149/ma2022-01154mtgabs.

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The recent rapid increase of the demand of higher energy density along with higher power density lithium-ion batteries (LiBs) requires the development of advanced cathode/anode materials with higher capacity. These challenges can be addressed providing that powerful characterization tools are able to probe the degradation phenomena occurring at multiple scale. In this context, the TEESMAT platform aims to widen the access to a large panel of characterization techniques among different partners across Europe for solving industrial problematics in energy related field. Among these, X-ray tomography has been used as non-invasive 3D investigation tool that spread along a wide range of applications in order to probe at different length scale their microstructure. Moreover, phase contrast imaging has brought to light a practical way to enhance visibility between weak absorbing materials and/or small details of differing refractive index within structure, and thus accessing a sharpen overview of the 3D morphology of complex material, which is of particular interest in the frame of energy-related materials. This presentation will focus on various industrial case studies such as NMC-based and LFP-based all solid-state batteries, hybrid Li-ion supercapacitor and current collector manufacturing. The results presented are part of the TEESMAT project, which received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 814106.
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van Milgen, Jaap. "245 PIGWEB: A European infrastructure project for experimental pig research." Journal of Animal Science 103, Supplement_1 (2025): 243–44. https://doi.org/10.1093/jas/skaf102.266.

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Abstract The European Commission considers research infrastructures as key elements for the advancement of knowledge, structure the scientific community, facilitate open, interconnected, and data-driven science, and to attract young people to science. Through its Horizon 2020 framework program, the Commission funds research infrastructure projects that are composed of Transnational Access (TNA), Networking Activities (NA), and Joint Research Activities (JRA), each with a budget of approximately 1.5 million euros. PIGWEB is such a research infrastructure project that started on March 1st, 2021 with the aim to strengthen the pig research community by providing and facilitating access to research infrastructures, reinforce a culture of cooperation between the research community and industrial and societal stakeholders, and improve and integrate the services provided by the research infrastructures. The project gathers 16 partners from nine European countries. Transnational access is provided through 22 installations, allowing external parties to carry out their experiments in PIGWEB installations, funded by the project. The installations include various experimental pig housing facilities and production systems, slaughterhouses and associated equipment, respiration chambers, experimental feed mills, and laboratories to carry out studies on pig nutrition, metabolism, physiology, behavior, and emissions. Networking activities include the mapping of research infrastructure and the identification of future needs. It also focuses on best practices for protocols, standards, and ethics in experimental pig research and on ontologies and Open Data and Open Science. The use of animals in research is challenged by society, especially in Europe. However, most animal scientists are not at ease to communicate with society about their research. The project provided training to scientists to communicate more and better with societal stakeholders and to engage in a constructive dialogue. Joint research activities are carried out to identify and test non- and minimally invasive proxies of efficiency, health, stress, and environmental impact. New methods, tools, and technologies have been developed to measure traits that are difficult to measure, related to welfare, behavior, and body composition. The newly developed and available research methods are combined in a research toolbox and are being tested to carry out integrated phenotyping of pigs.
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Panagea, Ioanna, Dangol Anuja, Marc Olijslagers, Jan Diels, and Guido Wyseure. "Monitoring Cropping Systems: From Data Collection to Cloud Database Storage Using Open Source Software." Proceedings 30, no. 1 (2020): 79. http://dx.doi.org/10.3390/proceedings2019030079.

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Agricultural cropping systems and experiments include complex interactions of processes and various management practices and/or treatments under a wide range of environmental and climatic conditions. The use of standardized formats to monitor and document these systems and experiments can help researchers and stakeholders to efficiently exchange data, promote interdisciplinary collaborations, and simplify modelling and analysis procedures. In the scope of the SoilCare Horizon 2020 project monitoring and assessment work package, an integrated scheme to collect, validate, store, and access cropping system information and experimental data from 16 study sites, was created. The aim of the scheme is to make the data readily available in a way that the information is useful, easy to access and download, and safe, relying only on open source software. The database design considers data and metadata required to properly and easily monitor, process, and analyse cropping systems and/or agricultural experiments. The scheme allows for the storage of data and metadata regarding the experimental set-up, associated people and institutions, information about field management operations and experimental procedures which are clearly separated for making analysis procedures faster, links between system components, and information about the environmental and climatic conditions. Raw data are entered by the users into a structured spreadsheet. The quality is checked before storing the data into the database. Providing raw data allows processing and analysing as each other user needs. A desktop import application has been created to upload the information from spreadsheet to database, which includes automated error checks of relationship tables, data types, data constraints, etc. The final component of the scheme is the database web application interface, which enables users to access and query the database across the study sites without the knowledge of query languages and to download the required data. For this system design, PostgreSQL is used for storing the data, pgAdmin 4 for database management administration, MongoDB for user management and authentication, Python for the development of the import application, Angular and Node.js/Express for the web application and spreadsheets compatible with LibreOffice Calc. The system is currently tested with data provided by the SoilCare study sites. Preliminary testing indicated that extended quality control of the spreadsheets was required from the system’s administrator to meet the standards and restrictions of the import application. Initial comments from the users indicate that the database scheme, even if it initially seems complicated, includes all the variables and details required for a complete monitoring and modelling of an agricultural cropping system.
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Cucco, Bruno, Gaelle Bouder, Laurent Pedesseau, et al. "Electronic structure and stability of Cs2TiX6 and Cs2ZrX6 (X = Br, I) vacancy ordered double perovskites." Appl. Phys. Lett. 119 (October 22, 2021): 181903. https://doi.org/10.1063/5.0070104.

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Vacancy ordered halide perovskites have been extensively investigated as promising lead-free alternatives to halide perovskites for various opto-electronic applications. Among these, Cs<sub>2</sub>TiBr<sub>6</sub> has been reported as a stable absorber with interesting electronic and optical properties, such as a bandgap in the visible, and long carrier diffusion lengths. Yet, a thorough theoretical analysis of the exhibited properties is still missing in order to further assess its application potential from a material&#39;s design point of view. In this Letter, we perform a detailed analysis for the established Ti-based compounds and investigate the less-known materials based on Zr. We discuss in detail their electronic properties and band symmetries, highlight the similarity between the materials in terms of properties, and reveal limits for tuning electronic and optical properties within this family of vacancy ordered double perovskites that share the same electron configuration. We also show the challenges to compute accurate and meaningful quasi-particle corrections at the GW level. Furthermore, we address their chemical stability against different decomposition reaction pathways, identifying stable regions for the formation of all materials, while probing their mechanical stability employing phonon calculations. We predict that Cs<sub>2</sub>ZrI<sub>6</sub>, a material practically unexplored to date, shall exhibit a quasi-direct electronic bandgap well within the visible range, the smallest charge carrier effective masses within the Cs<sub>2</sub>BX<sub>6</sub> (B = Ti, Zr; X = Br, I) compounds, and a good chemical stability. The research leading to these results has received funding from the Chaire de Recherche Rennes Metropole project and from the European Union&#39;s Horizon 2020 program through a FET Open research and innovation action under Grant Agreement No. 862656 (DROP-IT). This work was granted access to the HPC resources of TGCC under Allocation Nos. 2020-A0100911434 and 2020-A0090907682 made by GENCI. We acknowledge PRACE for awarding us access to the ARCHER2, United Kingdom.
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Ţîrlea, Mariana Rodica, and Iurie Caprian. "The Banker of the Future: Characteristics and Trends." International conference KNOWLEDGE-BASED ORGANIZATION 30, no. 2 (2024): 1–6. http://dx.doi.org/10.2478/kbo-2024-0057.

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Abstract In the age of technological advancement and ever-changing consumer expectations, banking is undergoing a major metamorphosis. New technologies are mostly related to the digitization of banking activities. As the digitization process deepens, banks will be required to be more agile, to accelerate innovative activity and to focus more on the customer. The basis of these transformations is the labor force employed in the banking sector. The process of implementing new information technologies required new specialties for employees of banking institutions. This article examines the essential roles and skill sets of the future in banking. Likewise, modern trends in the digitalization of banking were examined. To perfect this article, the futurological visions of banking experts placed in open access were examined. The purpose of this publication is to present the basic trends of the professional transformation of the banking worker and the banking industry in general in the horizon up to the year 2030.
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Pireddu, Roberta, Frederik Truyen, Sofie Taes, and Rasa Bocyte. "inDICEs: a MOOC on Developing Digital Transition Strategies for Cultural Heritage Institutions." European Conference on e-Learning 21, no. 1 (2022): 425–31. http://dx.doi.org/10.34190/ecel.21.1.904.

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In the Horizon 2020 project inDICEs, a consortium of 14 interdisciplinary partners from research and industry set out to develop an approach on how to understand and measure the impact of digital cultural heritage. Synthesising the results of three years of research, the consortium produced a MOOC on the KULeuvenX edX platform, focused on the development of digital transition strategies for both non-profit business models in heritage institutions as well as broader cultural and creative industries. Built on KU Leuven’s experience in developing MOOCs derived from Horizon research, this particular online course is part of a specific segment of the university’s MOOC offerings targeting primarily a professional audience. It is the third MOOC in a series intended for current and future professionals in the GLAM sector. In this paper, we discuss the choices behind the development of such a MOOC, and the strategic role such MOOCs play in the business model of the university, particularly with regards to micro-credentials. It also highlights the opportunities that networking with industry stakeholders opens for higher education and research organisations, as a not-for-profit valorisation effort. The MOOC brings insights on data monitoring and trend watching, copyright and digital asset management and development of digital strategies. Most importantly, it positions these topics within the context of new digital value chains for heritage institutions fostered by open access and participatory engagement models. As such, this paper will be of interest both to communities of MOOC developers - to understand how stakeholder communities and professional networks can steer choices, formats and approaches - as well as university MOOC business plan developers. Furthermore, as this MOOC embodies the growing interest of teachers and scholars in digital collections, it will also provide insights into opportunities such formats provided to the education and research sectors. Finally, it will speak to anyone working on MOOCs on the topic of cultural production and heritage.
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Asamani, James Avoka, Christmal Dela Christmals, and Gerda Marie Reitsma. "The needs-based health workforce planning method: a systematic scoping review of analytical applications." Health Policy and Planning 36, no. 8 (2021): 1325–43. http://dx.doi.org/10.1093/heapol/czab022.

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Abstract Although the theoretical underpinnings and analytical framework for needs-based health workforce planning are well developed and tested, its uptake in national planning processes is still limited. Towards the development of open-access needs-based planning model for national workforce planning, we conducted a systematic scoping review of analytical applications of needs-based health workforce models. Guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses—extension for Scoping Reviews (PRISMA-ScR) checklist, a systematic scoping review was conducted. A systematic search of peer-reviewed literature published in English was undertaken across several databases. Papers retrieved were assessed against predefined inclusion criteria, critically appraised, extracted and synthesized. Twenty-five papers were included, which showed increasing uptake of the needs-based health workforce modelling, with 84% of the studies published within the last decade (2010–20). Three countries (Canada, Australia and England) accounted for 48% of the publications included whilst four studies (16%) were based on low-and-middle-income countries. Only three of the studies were conducted in sub-Saharan Africa. Most of the studies (36%) reported analytical applications for specific disease areas/programs at sub-national levels; 20% focused on the health system need for particular categories of health workers, and only two (8%) reported the analytical application of the needs-based health workforce approach at the level of a national health system across several disease areas/programs. Amongst the studies that conducted long-term projections, the time horizon of the projection was an average of 17 years, ranging from 3 to 33 years. Most of these studies had a minimum time horizon of 10 years. Across the studies, we synthesized six typical methodological considerations for advancing needs-based health workforce modelling. As countries aspire to align health workforce investments with population health needs, the need for some level of methodological harmonization, open-access needs-based models and guidelines for policy-oriented country-level use is not only imperative but urgent.
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Feo, Elena, Sylvia Burssens, Hannes Mareen, and Pieter Spanoghe. "Shedding Light into the Need of Knowledge Sharing in H2020 Thematic Networks for the Agriculture and Forestry Innovation." Sustainability 14, no. 7 (2022): 3951. http://dx.doi.org/10.3390/su14073951.

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Providing ready-for-practice materials in an easily accessible and user-friendly way is one of the challenges of Horizon 2020 Thematic Networks (TNs) to promote agriculture and forestry innovation. Those materials are the result of the co-creation and knowledge exchange among TN actors. Using a survey, we investigated the most efficient communication and dissemination (C&amp;D) channels, types and formats of TN-produced data, as well as the involvement of TN actors. Additionally, we propose to collect TN outputs in a single digital platform, such that they are more Findable, Accessible, Interoperable, and Reusable (FAIR), ensuring the TN’s impact. An open and interactive platform may allow us to overcome challenging issues such as language barriers, limited Internet access and differing cultural backgrounds. The results obtained from the survey suggest which content should be stored in such a digital knowledge reservoir for agriculture and forestry. For example, newsletters and visual materials are often preferred by farmers and foresters. Additionally, face-to-face interaction is confirmed to be the most preferred way of retrieving information, especially by researchers and farmers/foresters. Future work will further investigate the variations in needs of different user profiles. As such, the proposed platform can stimulate knowledge exchange among all TN actors.
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Biasillo, Roberta. "Historical tools and current societal challenges: reflections on a collection of environmental migration cases." Fennia - International Journal of Geography 198, no. 1-2 (2020): 151–62. http://dx.doi.org/10.11143/fennia.86020.

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Through considering a "Geo Archive" as a tool of history, this paper explores several conundrums concerning environmental migration in social sciences. It demonstrates how historical perspectives can problematize and unsettle various automatisms that are widely present in journalistic, public, and policy discourses. Through examples from the Geo Archive, the article illustrates how unavoidable historical dimensions can enrich our understandings on the interaction between environmental issues and migration flows. This paper engages with an open access "archive in-the-making". This Geo Archive includes case studies of migration flows and puts those flows in conversation with environmental transformations and climatic changes. The analysed collection presents high-profile stories which are representative samples of different approaches, temporalities, geographies, sources of information, narratives, and scales. This endeavour encompasses different disciplines and fields of expertise: environmental humanities, IT and communication experts, and political ecology. The archive places itself within the realms of public history, environmental history, and history of the present and aims to reach out to wider audiences. This digital humanities project stemmed from a support action funded by the EU initiative Horizon 2020 titled CLISEL whose overarching goal was to analyse and better inform institutional responses and policies addressing climate refugees and migrants.
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Rasmussen, Karsten Boye. "As open as possible and as closed as needed." IASSIST Quarterly 43, no. 3 (2019): 1–2. http://dx.doi.org/10.29173/iq965.

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Welcome to the third issue of volume 43 of the IASSIST Quarterly (IQ 43:3, 2019).&#x0D; Yes, we are open! Open data is good. Just a click away. Downloadable 24/7 for everybody. An open government would make the decisionmakers’ data open to the public and the opposition. As an example, communal data on bicycle paths could be open, so more navigation apps would flourish and embed the information in maps, which could suggest more safe bicycle routes. However, as demonstrated by all three articles in this IQ issue, very often research data include information that requires restrictions concerning data access. The second paper states that data should be ‘as open as possible and as closed as needed’. This phrase originates from a European Union Horizon 2020 project called the Open Research Data Pilot, in ‘Guidelines on FAIR Data Management in Horizon 2020’ (July 2016). Some data need to be closed and not freely available. So once more it shows that a simple solution of total openness and one-size-fits-all is not possible. We have to deal with more complicated schemes depending on the content of data. Luckily, experienced people at data institutions are capable of producing adapted solutions. &#x0D; The first article ‘Restricting data’s use: A spectrum of concerns in need of flexible approaches’ describes how data producers have legitimate needs for restricting data access for users. This understanding is quite important as some users might have an automatic objection towards all restrictions on use of data. The authors Dharma Akmon and Susan Jekielek are at ICPSR at the University of Michigan. ICPSR has been the U.S. research archive since 1962, so they have much practice in long-term storage of digital information. From a short-term perspective you might think that their primary task is to get the data in use and thus would be opposed to any kind of access restrictions. However, both producers and custodians of data are very well aware of their responsibility for determining restrictions and access. The caveat concerns the potential harm through disclosure, often exemplified by personal data of identifiable individuals. The article explains how dissemination options differ in where data are accessed and what is required for access. If you are new to IASSIST, the article also gives an excellent short introduction to ICPSR and how this institution guards itself and its users against the hazards of data sharing.&#x0D; In the second article ‘Managing data in cross-institutional projects’, the reader gains insight into how FAIR data usage benefits a cross-institutional project. The starting point for the authors - Zaza Nadja Lee Hansen, Filip Kruse, and Jesper Boserup Thestrup – is the FAIR principles that data should be: findable, accessible, interoperable, and re-useable. The authors state that this implies that the data should be as open as possible. However, as expressed in the ICPSR article above, data should at the same time be as closed as needed. Within the EU, the mention of GDPR (General Data Protection Regulation) will always catch the attention of the economical responsible at any institution because data breaches can now be very severely fined. The authors share their experience with implementation of the FAIR principles with data from several cross-institutional projects. The key is to ensure that from the beginning there is agreement on following the specific guidelines, standards and formats throughout the project. The issues to agree on are, among other things, storage and sharing of data and metadata, responsibilities for updating data, and deciding which data format to use. The benefits of FAIR data usage are summarized, and the article also describes the cross-institutional projects. The authors work as a senior consultant/project manager at the Danish National Archives, senior advisor at The Royal Danish Library, and communications officer at The Royal Danish Library. The cross-institutional projects mentioned here stretch from Kierkegaard’s writings to wind energy.&#x0D; While this issue started by mentioning that ICPSR was founded in 1962, we end with a more recent addition to the archive world, established at Qatar University’s Social and Economic Survey Research Institute (SESRI) in 2017. The paper ‘Data archiving for dissemination within a Gulf nation’ addresses the experience of this new institution in an environment of cultural and political sensitivity. With a positive view you can regard the benefits as expanding. The start is that archive staff get experience concerning policies for data selection, restrictions, security and metadata. This generates benefits and expands to the broader group of research staff where awareness and improvements relate to issues like design, collection and documentation of studies. Furthermore, data sharing can be seen as expanding in the Middle East and North Africa region and generating a general improvement in the relevance and credibility of statistics generated in the region. Again, the FAIR principles of findable, accessible, interoperable, and re-useable are gaining momentum and being adopted by government offices and data collection agencies. In the article, the story of SESRI at Qatar University is described ahead of sections concerning data sharing culture and challenges as well as issues of staff recruitment, architecture and workflow. Many of the observations and considerations in the article will be of value to staff at both older and infant archives. The authors of the paper are the senior researcher and lead archivist at the archive of the Qatar University Brian W. Mandikiana, and Lois Timms-Ferrara and Marc Maynard – CEO and director of technology at Data Independence (Connecticut, USA). &#x0D; Submissions of papers for the IASSIST Quarterly are always very welcome. We welcome input from IASSIST conferences or other conferences and workshops, from local presentations or papers especially written for the IQ. When you are preparing such a presentation, give a thought to turning your one-time presentation into a lasting contribution. Doing that after the event also gives you the opportunity of improving your work after feedback. We encourage you to login or create an author login to https://www.iassistquarterly.com (our Open Journal System application). We permit authors 'deep links' into the IQ as well as deposition of the paper in your local repository. Chairing a conference session with the purpose of aggregating and integrating papers for a special issue IQ is also much appreciated as the information reaches many more people than the limited number of session participants and will be readily available on the IASSIST Quarterly website at https://www.iassistquarterly.com. Authors are very welcome to take a look at the instructions and layout:&#x0D; https://www.iassistquarterly.com/index.php/iassist/about/submissions&#x0D; Authors can also contact me directly via e-mail: kbr@sam.sdu.dk. Should you be interested in compiling a special issue for the IQ as guest editor(s) I will also be delighted to hear from you.&#x0D; Karsten Boye Rasmussen - September 2019
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Lubchych, Anna. "Open science: demand and prospects." Law and innovations, no. 3 (43) (September 25, 2023): 19–25. http://dx.doi.org/10.37772/2518-1718-2023-3(43)-3.

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Problem setting. Since the European Commission has emphasized openness in science and innovation, it has been natural for relevant mandatory requirements to appear in EU research grant programs, including Horizon Europe, the main one. In principle, the very need to meet these requirements is a sufficient motivation for the introduction of open science in Ukraine and the development of the relevant National Plan, an important European integration tool. analysis of recent researches and publications. Domestic scholars who have studied this issue include: Drach I.I., Vasylenko A.Y., Bruy O. and others. Foreign researchers are: Lichten C.A., Hafner M., Wooding S., Cooper S.F., KhatibA., Treuille J., Barbero J. Lee, Beenen M., Leaver-Fay A., Baker D., Popović Z., Eiben C.B., Siegel J.B., Bale J.B., Cooper S., Khatib F., Shen B.W., Brownstein J.S., Freifeld C.C., Madoff L.C., and others. Purpose of the research is to analyze the essence of open science, its goals, advantages and disadvantages, as well as the demand for and prospects of large-scale implementation of open science policy. article’s main body. For the international community, the role of open science has become even more apparent during the global crisis caused by the coronavirus pandemic, which has shown humanity the key role of open access to scientific information, rapid knowledge sharing, and collaboration between scientists in overcoming global challenges. Today, it is no exaggeration to say that the effective and rapid implementation of open science in Ukraine can become the basis for restarting the national scientific system, which is not fully competitive in the global dimension and suffers from the vestiges of the past. In particular, this concerns the development of a renewed national scientific culture based on academic integrity, cooperation, and a focus on the needs of society. The emergence of a national plan for open science in Ukraine is the beginning of systematic work at the state level, which is to be welcomed. Obviously, we need to act quickly, because every day the gap with the EU countries will increase and may become critical, complicating European integration processes. The bad news is that the implementation of open science always means additional efforts and/or costs (for new research infrastructure, payment for open access publications, awareness raising and training, etc.) that Ukraine may not be able to afford, especially given that a huge share of the national budget will be spent on defense in the coming years (almost 50% in 2023). It is also worth remembering the need to focus on young scientists, who will need additional support but can become effective agents of change, as open science will provide them with many tangible benefits, and the ideal time to develop the relevant skills is at the beginning of their scientific career. conclusions and prospects for the development. Given the benefits of open science, compliance by Ukrainian scientists with certain requirements will facilitate their integration into the global scientific community. Since open science is still in the early stages of its evolution, consolidated information on trends and practices will help to show where policy development can be useful and where participants in open science initiatives have already been able to create their own useful practices. However, open science can also have a negative impact on the research system, and this should also be highlighted and investigated. It is advisable to review the systems for evaluating research and professional performance in order to bring them in line with the principles of open science.
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46

Dudik, Olesia, Isabel Lenor, Joana R. Xavier, et al. "Sponge-derived silica for tissue regeneration - Bioceramics of deep-sea sponge." Materials Today 21, no. 5 (2018): 577–78. https://doi.org/10.1016/j.mattod.2018.03.025.

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47

Shangov, Daniel, Krassimir Vlachkov, Ralitsa Rumenova, et al. "Smart5Grid Solutions for enhanced TSO grid observability and manageability in massive RES penetration environment." Open Research Europe 3 (January 27, 2023): 18. http://dx.doi.org/10.12688/openreseurope.15090.1.

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Background This article elaborates on Horizon 2020 Smart5Grid Research and Innovation (R&amp;I) project and reports the Smart5Grid Open Experimentation Platform (OEP), including its Open Service Repository (OSR), Verification and Validation (V&amp;V), NetApp Controller (NAC), and Multi-access Edge Computing Orchestrator (MECO), as key results of this project. It then translates those results into energy vertical implications of the Smart5Grid for Transmission System Operators (TSOs), focusing on two particular Use Cases (UCs): UC3 Millisecond Level Precise Distribution Generation Control and UC4 Real-time Wide Area Monitoring pilot demonstrator of 5G virtual PDC capabilities for WAM of end-to-end electricity grids. More specifically, this work exhibits UC3 and UC4 NetApps developed as one of the key project deliverables. All use cases generate openly accessible data, except where specific security restrictions are applicable. Methods The Smart5Grid development methodology is based on the concept of Network Applications (NetApps). Their main mission is to hide the complexity of a 5G telco network for energy application developers in a way that empowers them to develop a NetApp without having to deal with the underlying network. A Virtual Infrastructure Manager (VIM) such as OpenStack or Kubernetes hosts every unit that composes a NetApp. The VIM provides monitoring data to a Network Function Vurtualisation Manager and Orchestrator (NFV MANO) framework, which airs information to the NAC that employs analysis algorithms to propose the optimal Virtual Network Function (VNF) and NetApp placing. A Slice Manager (SM) reserves resources for all these capabilities. Results The Smart5Grid architecture represents the main result that this work delineates in the context of its enhanced 5G telecommunication provider (telco) capabilities for transmission and distribution grids to face and manage more efficiently high Renewable Energy Sources (RES) penetration in a decarbonisation context.
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BAJEOT, JADE. "The Social Implication of a "mixed" Ceramic Assemblage: Understanding the Predynastic Community of Nag el‑Qarmila (First Nile Cataract, Egypt) Through Pottery Technology." African Archaeology Review 41 (October 22, 2024): 443–75. https://doi.org/10.1007/s10437-024-09602-8.

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This article investigates the social landscape&nbsp;of the First Nile Cataract region in the 4th mill.&nbsp;BCE through the application of petrographic and&nbsp;technological approaches to pottery analysis. The&nbsp;study focuses on the ceramic assemblages from the&nbsp;settlement WK15 and the necropolis WK14 at Nag&nbsp;el-Qarmila and identifies for the first time three technical&nbsp;traditions along with their synchronic and diachronic&nbsp;interaction. It provides new data on the more&nbsp;ancient phases of the so-called Naqadan productions&nbsp;and their relationship with the Shale Ware and the&nbsp;Nubian Black-Mouthed Ware. The results allow us to&nbsp;better frame the mixed assemblage that characterizes&nbsp;a site far from the elite centers and where relations&nbsp;between mobile and sedentary groups were, therefore,&nbsp;more fluid. The data obtained also constitute a comparative&nbsp;nucleus for the growth of technological and&nbsp;petrographic studies at other sites and periods, and&nbsp;the numerous insights that emerged will be useful for&nbsp;directing future research. <strong>Funding</strong> This research is part of the TECHNOPREGYPT&nbsp;Project No. 2021/43/P/HS3/03262 co-funded by the Polish&nbsp;National Science Centre and the European Union&rsquo;s Horizon&nbsp;2020 research and innovation program under the Marie&nbsp;Skłodowska-Curie grant agreement no. 945339. For the purpose&nbsp;of Open Access, the author has applied a CC-BY public&nbsp;copyright license to any Author Accepted Manuscript (AAM)&nbsp;version arising from this submission. This analysis has been&nbsp;done in collaboration with the Aswan-Kom Ombo Archaeological&nbsp;Project and the BORDERSCAPE Project, the latter funded&nbsp;by the Norwegian Financial Mechanism 2014-2021 through&nbsp;the Norway Grants and the National Science Centre of Poland,&nbsp;Grant POLS 2020/37/K/HS3/04097.
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Tallon, José M., Paulo Gomes, Leonor Bacelar-Nicolau, and Sérgio Bacelar. "A three-way multivariate data analysis: comparison of EU countries’ COVID-19 incidence trajectories from May 2020 to February 2021." Biometrics & Biostatistics International Journal 10, no. 3 (2021): 98–114. http://dx.doi.org/10.15406/bbij.2021.10.00336.

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Introduction: About a year and a half after the declaration of the COVID-19 pandemic, almost the entire planet has been affected by SARS-CoV-2 coronavirus and its variants, with serious public health consequences and other repercussions not yet thoroughly evaluated or foreseen in terms of economic, financial and social disruption throughout communities. Therefore, it is of utmost importance to understand the geography of the evolution of successive pandemic waves. Particularly in European countries, where, in recent decades, more advanced models for cohesion and competitiveness of a whole with more than 400 million inhabitants have been achieved, with ambitious challenges for horizon 2030 regarding this vast territory’s economic, social, and environmental sustainability. Objective: The main objective of this research is to describe the multivariate trajectories of COVID-19 incidence, mortality, hospital admissions, ICU admissions and testing, over three successive waves, covering all European Union (EU) countries with more than two million inhabitants, over 14-days periods before May 4 2020, until February 22 2021. Methods: This research includes 22 European countries representing about 98.8% of the EU population, described by six epidemiological variables over 43 time periods from the ECDC database: the 14-day notification rate Biometrics &amp; Biostatistics International Journal Research Article Open Access of new cases reported for 100,000 inhabitants; the 14-day notification rate of reported deaths per one million inhabitants; the mean and the rate for 100,000 population of hospital occupancy and ICU occupancy; the testing rate per 100,000 population; and the 14-days percentage of test positivity An exploratory data analysis of each epidemiological variable identified a typology of countries profiles evolution. Multivariate exploratory statistical methods, namely a 3-way data analysis (double principal components and rank principal components analyses), were applied with software R version 4.1.0. Results: The multivariate evolution profile of the COVID-19 pandemic in the EU over the studied period highlighted 3 phases: the first phase over 24 time periods, with a relatively low COVID-19 incidence, hitting only part of EU countries; a second phase at the beginning of the second wave, when COVID-19 spread to most countries, with a higher impact on national health systems; lastly, a third phase coincident with the peak of the second wave and the onset of the third wave, a particularly reactive phase from the public authorities, with intensified testing of the population. These results are clear from the principal component analysis of the centres of gravity of the 43 time periods (interstructure). The multivariate statistical analysis of the global dataset of all countries over the 43 time periods additionally provides the main factorial representation of the trajectories of COVID-19 for each country in direct comparison with the global average ranked values reached by the six epidemiological variables over the whole period under study (intrastructure). These trajectories make it possible to identify different country profiles throughout the successive pandemic waves and counter-cyclical behaviours, partly explained by the insufficient harmonisation of public policies to tackle the pandemic within the EU.
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Agosti, Donat, Patrick Ruch, Gonzalez Lopez Jose Benito, and Lyubomir Penev. "Enabling Published Taxonomic Data to be used to Address the Biodiversity Crisis: Biodiversity Literature Repository and TreatmentBank." Biodiversity Information Science and Standards 6 (August 2, 2022): e91167. https://doi.org/10.3897/biss.6.91167.

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To understand the loss of species, a benchmark is needed, e.g. the status of biodiversity in 1992 when the Convention on Biological Diversity recognized biodiversity crisis to compare to its status in the successive year. Though we are far from knowning how many species there are on planet Earth, we keep track of their descriptions and number through the information kept in our libraries. Each species discovered is represented therein by at least one taxononic treatment. The library includes an estimated 500 million pages and is updated daily with an estimated 17–18,000 new species annually and over 100,000 treatments augmenting the knowledge of existing species.In reality, we do not know how many species exist. We know that the catalogue of life is incomplete and basic knowlege of known species is often lacking and not even updated regularly. On the other hand, the scientific standard to cite previous works and facts is at the same time an ideal prerequisit to build a knowledge graph in the era of digital knowledge.TreatmentBank (TB) and the Biodiversity Literature Repository (BLR), two European Research Infrastructures, provide a service to convert unstructured biodiversity data from scholarly publications into semantically enhanced, digital accessible knowledge (Fawcett et al. 2022) making it findable, accessible, interoperable, reusable (FAIR, Wilkinson et al. 2016) and providing long term access in collaboration with Zenodo. Data sources are either legacy publications or active journals using an XML workflow such as Zookeys or the Biodiversity Data Journal, published by the pioneer of taxonomically enhanced Taxpub XML publishing, Pensoft. As part of the Horizon 2020-funded project Biodiversity Community Integrated Knowledge Library (BiCIKL), bidirectional linking of taxonomic names with the Catalogue of Life, DNA-sequences with the International Nucleotide Sequence Database Collaboration (INSDC) and material citations with their respective natural history collection or their depositions in the Global Biodiversity Information Facility (GBIF) is targeted. As input to allow queries including text and data mining for traits and biotic interactions, the treatments are uploaded to the Swiss Institute of Bioinformatics (SIB) Library Service (SIBiLS) using TaxPub and schema based on Journal Article Tag Suite (JATS) widely used in life science publishing and PubMed Central, allowing the use of the advanced text and data mining tools in the life science community. Another research infrastructure that ensures an RDF representation and conversion into Linked Open Data (LOD) is OpenBiodiv allowing users to explore DAK as part of growing linked open biodiverstiy and related data. All the data fit for GBIF use is reused by GBIF representing close to 60% of all published data sets, which makes TreatmentBank and BLR, for example, a sole provider of data for approximately 90,000 species not recorded in GBIF by other publishers.The long-term strategy is to build up the momentum to be an infrastructure relevant for global biodiversity conservation and research. Long-term support will be achieved by negotiations with respective agencies and publishers, and through building up a global user community using the biodiversity digital acccessible knowledge.
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