Relevant bibliographies by topics / Open Science Data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Open Science Data'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Open Science Data"

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Serbe-Kamp, Étienne, Jens Bemme, Daniel Pollak, and Katja Mayer. "Open Citizen Science: fostering open knowledge with participation." Research Ideas and Outcomes 9 (January 23, 2023): e96476. https://doi.org/10.3897/rio.9.e96476.

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Citizen Science or community science has been around for a long time. The scope of community involvement in Citizen Science initiatives ranges from short-term data collection to intensive engagement to delve into a research topic together with scientists and/or other volunteers. Although many volunteer researchers have academic training, it is not a prerequisite for participation in research projects. It is important to adhere to scientific standards, which include, above all, transparency with regard to the methodology of data collection and public discussion of the results, and open educatio
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ITSUMURA, Hiroshi. "Open access, open data and open science." Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 27, no. 3 (2015): 90–95. http://dx.doi.org/10.3156/jsoft.27.3_90.

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Wittenburg, Peter. "Open Science and Data Science." Data Intelligence 3, no. 1 (2021): 95–105. http://dx.doi.org/10.1162/dint_a_00082.

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Data Science (DS) as defined by Jim Gray is an emerging paradigm in all research areas to help finding non-obvious patterns of relevance in large distributed data collections. “Open Science by Design” (OSD), i.e., making artefacts such as data, metadata, models, and algorithms available and re-usable to peers and beyond as early as possible, is a pre-requisite for a flourishing DS landscape. However, a few major aspects can be identified hampering a fast transition: (1) The classical “Open Science by Publication” (OSP) is not sufficient any longer since it serves different functions, leads to
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Murray-Rust, Peter. "Open Data in Science." Serials Review 34, no. 1 (2008): 52–64. http://dx.doi.org/10.1080/00987913.2008.10765152.

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Schindler, F., S. Pari, S. Meissl, G. Smith, E. Dobrowolska, and A. Anghelea. "OPEN SCIENCE DATA CATALOGUE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W2-2023 (December 13, 2023): 997–1003. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w2-2023-997-2023.

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Abstract. Open Science is a catalyst for innovation. Across the Earth Observation value chain, from R&D to prototyping new products and development of commercial applications, openness can play an important role by promoting long-term sustainable, community-contributed science and technology. The FAIR principles provide essential support to implementing Open Science, by offering guidelines for how researchers can adapt their EO and Earth Science practice to enable that their work (taking place increasingly in the cloud) and results are discovered, accessed, used, and reproduced by othe
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Banović, Jelena. "The Future of Science – Open Science and Open Data." Infotheca 20, no. 1-2 (2020): 47–55. http://dx.doi.org/10.18485/infotheca.2020.20.1_2.3.

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Schmelling, Nicolas. "Data Intensive Science." Research Ideas and Outcomes 3 (February 1, 2017): e12032. https://doi.org/10.3897/rio.3.e12032.

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A proposal to create a full-semester zero-entry level course about the responsible handling of research data and the associated analyses, storage, and sharing. The syllabus will comprise open science workflows, the creation of data management plans, as well as the addressing issues about reproducibility and data sharing in science. The course and all its materials will be licensed under CC-BY or if possible under CC-0.
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Fischer, Caroline, Simon David Hirsbrunner, and Vanessa Teckentrup. "Producing Open Data." Research Ideas and Outcomes 8 (November 17, 2022): e86384. https://doi.org/10.3897/rio.8.e86384.

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Open data offer the opportunity to economically combine data into large-scale datasets, fostering collaboration and re-use in the interest of treating researchers' resources as well as study participants with care. Whereas advantages of utilising open data might be self-evident, the production of open datasets also challenges individual researchers. This is especially true for open data that include personal data, for which higher requirements have been legislated. Mainly building on our own experience as scholars from different research traditions (life sciences, social sciences and humanitie
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Zhao, Weijie. "Open data for better science." National Science Review 5, no. 4 (2018): 593–97. http://dx.doi.org/10.1093/nsr/nwy059.

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ABSTRACT The past two decades have seen increasing interests in open data. Many scientists believe that the original research data should be properly organized and opened to the public and researchers throughout the world, and, once the open-data strategies are put into practice, the entire scientific research enterprise could be transformed. Driven by the trend of data sharing many platforms and repositories have been established. Universities, funding agencies and academic journals are also taking an active role in facilitating data sharing. In this forum discussion organized by National Sci
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Koribalski, Bärbel S. "Open Astronomy and Big Data Science." Proceedings of the International Astronomical Union 15, S367 (2019): 227–30. http://dx.doi.org/10.1017/s1743921321000879.

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AbstractOpen Astronomy is an important and valuable goal, including the availability of refereed science papers and user-friendly public astronomy data archives. The latter allow and encourage interested researchers from around the world to visualise, analyse and possibly download data from many different science and frequency domains. With the enormous growth of data volumes and complexity, open archives are essential to explore ideas and make discoveries. Open source software is equally important for many reasons, including reproducibility and collaboration. I will present examples of open a
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Dissertations / Theses on the topic "Open Science Data"

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Smith, Micah J. (Micah Jacob). "Scaling collaborative open data science." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117819.

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Thesis: S.M. in Computer Science, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 103-107).<br>Large-scale, collaborative, open data science projects have the potential to address important societal problems using the tools of predictive machine learning. However, no suitable framework ex
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Ylinärä, A. (Ari). "Open data in city strategies." Master's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201704121477.

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The development initiatives of cities are prioritized by the city councils in the city strategies. This master’s thesis studies the occurrence of open data themes among city priorities. The theoretical background of the thesis is based on knowledge of open data literature and city strategies. It is studied how the cities promote open data in their city strategies: how are the themes of open data visible in the strategies. Opening data is an active topic in cities. Among other drivers, legislation in national and European Union level is pushing proceeding. Opening datasets in new sectors meets
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Lipton, Vera Jane. "More than Open Data mandates: a staged model for achieving Open Access to scientific data." Thesis, Australian Catholic University, 2018. https://acuresearchbank.acu.edu.au/download/80346347b0b0f53abd552c4afe5a744d9061c8519dfa0b2f6ceb5dc9866078d8/8149813/LIPTON_2018_EMBARGO_More_than_open_data_mandates.pdf.

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Public science is critical to the economy and to society. However, much of the beneficial impact of scientific research only occurs when scientific knowledge is disseminated broadly and is used by others. This thesis examines the emerging policy, law, and practice of facilitating open access to scientific research data. One particular focus is to examine the open data policies recently introduced by research funders and publishers, and the potential in these for driving the practice of open scientific data into the future. This thesis identifies five major stumbling blocks to sustainable open
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Paseri, Ludovica <1992&gt. "The European legal approach to Open Science and research data." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10393/1/paseri_ludovica_tesi.pdf.

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This dissertation proposes an analysis of the governance of the European scientific research, focusing on the emergence of the Open Science paradigm: a new way of doing science, oriented towards the openness of every phase of the scientific research process, able to take full advantage of the digital ICTs. The emergence of this paradigm is relatively recent, but in the last years it has become increasingly relevant. The European institutions expressed a clear intention to embrace the Open Science paradigm (eg., think about the European Open Science Cloud, EOSC; or the establishment of the Hori
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Jain, Prateek. "Linked Open Data Alignment & Querying." Wright State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wright1345575500.

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Savalli, Antonino. "Tecniche analitiche per “Open Data”." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17476/.

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L’ultimo decennio ha reso estremamente popolare il concetto di Open Government, un modello di amministrazione aperto che fonda le sue basi sui principi di trasparenza, partecipazione e collaborazione. Nel 2011, nasce il progetto Dati.gov.it, un portale che ha il ruolo di “catalogo nazionale dei metadati relativi ai dati rilasciati in formato aperto dalle pubbliche amministrazioni italiane”. L'obiettivo della tesi è fornire un efficace strumento per ricercare, usare e confrontare le informazioni presenti sul portale Dati.gov.it, individuando tra i dataset similarità che possano risolvere e/o l
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Shi, H. (Henglin). "A GQM-based open research data technology evalution method in open research context." Master's thesis, University of Oulu, 2016. http://urn.fi/URN:NBN:fi:oulu-201605221853.

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Open Research Data is gaining popularity nowadays, and various research units and individuals are interested to join this trend. However, due to variety of Open Research Data technologies, they have found it is difficult to select proper ones for their specific requirements. Thus, a method for evaluating of Open Research Data related technologies is developed in this study for researchers to select proper ones. Firstly, the theoretical knowledge of research data sharing and reusing barriers is resulted from a structured literature review. As a result, from the 19 primary studies, 96 instances
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Pujol, Priego Laia. "At the crossroads of big science, open science, and technology transfer." Doctoral thesis, Universitat Ramon Llull, 2020. http://hdl.handle.net/10803/669220.

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Les grans infraestructures científiques s’enfronten a demandes creixents de responsabilitat pública, no només per la seva contribució al descobriment científic, sinó també per la seva capacitat de generar valor econòmic secundari. Per construir i operar les seves infraestructures sofisticades, sovint generen tecnologies frontereres dissenyant i construint solucions tècniques per a problemes d’enginyeria complexos i sense precedents. En paral·lel, la dècada anterior ha presenciat la ràpida irrupció de canvis tecnològics que han afectat la manera com es fa i es comparteix la ciència, cosa que ha
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Rowhani-Farid, Anisa. "Towards a culture of open science and data sharing in health and medical research." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/119697/2/__qut.edu.au_Documents_StaffHome_staffgroupW%24_wu75_Documents_ePrints_9521071.AnisaRowhaniFarid.Thesis.pdf.

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This thesis investigated the factors that contribute to the cultural shift towards open science and data sharing in health and medical research, with a focus on the role health and medical journals play. The findings of this research demonstrate that journal data sharing policies are not effective and that journals do not currently provide incentives for sharing. This study contributed to the movement towards more reproducible research by providing empirical evidence for the strengthening of journal data sharing policies and the adoption of an incentive for open research.
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Courtney, Chaney Lee. "Open source application development for phenotypical data acquisition." Kansas State University, 2017. http://hdl.handle.net/2097/35601.

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Master of Science<br>Department of Computing and Information Sciences<br>Mitchell L. Neilsen<br>The Poland Lab at Kansas State University studies the genetics of wheat ‘to develop a climate-resilient wheat variety that can combat rising heat and drought.’ With populations and food demand rising the need for accelerated food growth is imminent. A previous group of Android applications, Field book has shown that the use of open source app development could create a segue to increasing food development through modernized plant breeding across the world. This is especially useful to various countr
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Books on the topic "Open Science Data"

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Medina-Smith, Andrea. How Feminist Is Your Open Data? Data Feminism for the Open Science Movement. SAGE Publications Ltd, 2025. https://doi.org/10.4135/9781036223083.

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Company, X/Open, ed. X/Open CAE specification. X/Open Co., 1996.

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Kuznecova, Irina, and Mihail Prohorov. Educational research project in physics based on open data. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1242226.

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One of the forms of teaching physics in high schools with a natural science specialization and in the junior courses of universities can be an educational research project. The use of modern open scientific data makes it possible to make the project interesting, modern, relevant and multidisciplinary. The implementation of such a project allows the student to understand some areas of modern scientific research and the relationship between various natural sciences. Direct comparison of the project results with published fundamental research and discussion of the differences obtained are possibl
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service), SpringerLink (Online, ed. Counterterrorism and Open Source Intelligence. Springer-Verlag/Wien, 2011.

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Auer, Sören. Linked Open Data - Creating Knowledge Out of Interlinked Data: Results of the LOD2 Project. Springer Nature, 2014.

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Jacobs, Bart. Formal Methods for Open Object-Based Distributed Systems V: IFIP TC6. Springer US, 2002.

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Christian, Wolfgang. Open source physics: A user's guide with examples. Pearson Education, 2006.

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Company, X/Open, ed. X/Open CAE specification: OSI-abstract-data manipulation API (XOM), issue 3. X/Open Co., 1996.

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Dufrasne, Bertrand. IBM system storage DS8000 series: Copy services in open environments. 3rd ed. IBM, International Technical Support Organization, 2006.

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Castets, Gustavo. IBM TotalStorage Enterprise Storage Server: Implementing ESS Copy Services in open environments. 4th ed. IBM, International Technical Support Organization, 2004.

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Book chapters on the topic "Open Science Data"

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Lahti, Leo. "Open Data Science." In Advances in Intelligent Data Analysis XVII. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01768-2_3.

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Neumaier, Sebastian, Vadim Savenkov, and Svitlana Vakulenko. "Talking Open Data." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70407-4_25.

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Ackermann, Philipp, and Kurt Stockinger. "Narrative Visualization of Open Data." In Applied Data Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11821-1_14.

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Dang, Vincent-Nam, Nathalie Aussenac-Gilles, Imen Megdiche, and Franck Ravat. "Enabling Interdisciplinary Research in Open Science: Open Science Data Network." In Research Challenges in Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59465-6_2.

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Ding, Chaohai, Mike Wald, and Gary Wills. "Open Accessibility Data Interlinking." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08599-9_12.

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Benchoufi, Mehdi, and Olivier de Fresnoye. "Open Science and Open Data: Accelerating Scientific Research." In Healthcare and Artificial Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32161-1_27.

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Rockhold, Frank, and Rebecca Wilgus. "Open Science and Patient Data Sharing." In Handbook of Generalized Pairwise Comparisons. Chapman and Hall/CRC, 2025. https://doi.org/10.1201/9781003390855-26.

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Artini, Michele, Leonardo Candela, Paolo Manghi, and Silvia Giannini. "RepOSGate: Open Science Gateways for Institutional Repositories." In Digital Libraries: The Era of Big Data and Data Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39905-4_15.

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Kee, Kerk F., Amy Koerber, Jesse C. Starkey, Karin Ardon-Dryer, R. Glenn Cummins, and Lyombe Eko. "2. Open Science, Open Data: The ‘Open’ Movement in Scholarly Publishing." In The Predatory Paradox. Open Book Publishers, 2023. http://dx.doi.org/10.11647/obp.0364.03.

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In Chapter 2, ‘Open Science, Open Data,’ Kerk F. Kee takes a broader look at ‘openness’ as it has been used in conversations about scientific research and publishing. ‘Openness’ is often touted as an antidote for all the problems that exist in scholarly publishing. The rationale is that if we can achieve greater transparency in publishing practices, there will be no more impetus for predatory publishers to go on. More specifically, the reasoning goes, predatory publishing has been able to thrive because so much of academic publishing occurs in a black box, behind closed doors. We have trusted
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Tanuja, K., and Rahul Dubey. "Enhancing Open Cognitive Data Science Workbench on Open Power." In International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03146-6_42.

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Conference papers on the topic "Open Science Data"

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Abdulrazzaq, Ali Z., Mina Haider Mohammed, Mohammed Rafid Ahmed Ahmed, Rana Khudhair Abbas Ahmed, Doaa Mohammad Majed, and Natalia Filipchuk. "Advanced Data Processing in Computer Science: Leveraging MATLAB's Computational Prowess and GUI Capabilities." In 2024 36th Conference of Open Innovations Association (FRUCT). IEEE, 2024. http://dx.doi.org/10.23919/fruct64283.2024.10749822.

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Hossain Chowdhury, Md Kamal, and Purushotham V. Bangalore. "Data Security Approaches to Support Open Science on High-Performance Computing Systems." In 2024 33rd International Conference on Computer Communications and Networks (ICCCN). IEEE, 2024. http://dx.doi.org/10.1109/icccn61486.2024.10637512.

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Vevera, Victor Adrian, and Dragos Barbu. "OPEN DATA INFRASTRUCTURES: EUROPEAN OPEN SCIENCE CLOUD." In 14th International Technology, Education and Development Conference. IATED, 2020. http://dx.doi.org/10.21125/inted.2020.1512.

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Rincón Ovalles, Rosalba. "The Future is Open: Open Access, Open Data, Open Science." In MATSUS Spring 2025 Conference. FUNDACIO DE LA COMUNITAT VALENCIANA SCITO, 2024. https://doi.org/10.29363/nanoge.matsusspring.2025.608.

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Novotný, Jakub. "Open Science, Open Research Data and some Open Questions." In Hradec Economic Days 2019, edited by Petra Maresova, Pavel Jedlicka, and Ivan Soukal. University of Hradec Kralove, 2019. http://dx.doi.org/10.36689/uhk/hed/2019-02-017.

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Viseur, Robert. "Open Science - Practical Issues in Open Research Data." In 4th International Conference on Data Management Technologies and Applications. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005558802010206.

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PAYNE, PHILIP R. O., KUN HUANG, NIGAM H. SHAH, and JESSICA TENENBAUM. "OPEN DATA FOR DISCOVERY SCIENCE." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813207813_0061.

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Vehkalahti, Kimmo. "Engaging everyone with open data science." In Decision Making Based on Data. International Association for Statistical Education, 2019. http://dx.doi.org/10.52041/srap.19419.

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Teaching of statistics should focus more on practical data science, with a special emphasis on data wrangling: Preparing the data for the analyses, looking at the data via clever visualizations, and learning the principles and practices of open science and reproducible research. The statistics curriculum should be updated and the term “data science” used as a synonym to statistics. In all possible fields, there is a huge need to have more data scientists. To engage everyone with “open data science” (open data, open science, and data science), we have created a new course, where students from a
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Huhtamäki, Jukka. "Session details: Open data and data science." In AcademicMindtrek'17: Annual Academic Mindtrek Conference. ACM, 2017. http://dx.doi.org/10.1145/3247886.

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Lin, Ji-Ping. "Data Science as a Foundation towards Open Data and Open Science: The Case of Taiwan Indigenous Peoples Open Research Data (TIPD)." In International Symposium on Grids and Clouds (ISGC) 2017. Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.293.0004.

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Reports on the topic "Open Science Data"

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Langlais, Pierre-Carl. Open Science Monitor. Comité pour la science ouverte, 2023. https://doi.org/10.52949/65.

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An Open Science Monitor or Open Access Monitor is a scientific infrastructure that aimed to assess the spread of open practices in a scientific contexts. Open Science monitors have generally been built at the scale of a specific country or a specific institutions. They require an accurate assessment of the total scientific output and a further breakdown between open and closed content. They rely on a variety of data sources and methodologies to achieve this end. Consequently, Open Science Monitors have also become relevant tools for bibliometric analysis. While initially conceived to track pub
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Langlais, Pierre-Carl. Economics of open science. Comité pour la science ouverte, 2023. https://doi.org/10.52949/63.

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Open science has significantly reduced the costs of scholarly publication. A 2021 study estimates the expenses of a commercial open access publisher at 55% of the price of a standard subscription article: this proportion is significantly lower for non-commercial open access publication which can be as low as 10% of the price. Numerous activities associated with publishing like commercial service, pricing or marketing are no longer necessary. The development of shared services and free software have also helped to curtailed technical costs. Open science involves a plurality of economic models t
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Langlais, Pierre-Carl. Uses of Open Science. Comité pour la science ouverte, 2024. https://doi.org/10.52949/67.

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Contrary to common expectations, 65-90% of the audience of open science platforms comes from non-academics. New research has shown that the open science movement has largely expanded the social, economic and cultural scope of scientific research. Regular users include students, non-academic professionals or private citizens. Private and public structures extensively rely on open research to create new innovations and better document existing practices or products. Significant professional uses of academic research has been attested in numerous sectors such as the aircraft industry, banking, in
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Dawson, Stephanie. D11.6 REPO4EU Open Science Strategy. REPO4EU, 2023. http://dx.doi.org/10.58647/repo4eu.202300d11.6.

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To ensure the widest possible dissemination of the results to the research community, pharmaceutical industry, patients and to the broader public, the REPO4EU project, in line with goals of the European Commission, is committed to an Open Science approach. Because Open Science can be interpreted widely this document lays out the strategy of the project with regard to Open Access publishing, alternative metrics, Intellectual Property and FAIR data. The Open Science Strategy forms the theoretical framework for the REPO4EU Open Science publishing portal that will develop into an open hub of resea
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Mattmann, Chris. Earth Science Data Systems: Policy for Open Source Software Governance. National Academies Press, 2018. http://dx.doi.org/10.17226/25217_2.

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Langlais, Pierre-Carl. Open Scientific Data. Comité pour la science ouverte, 2023. https://doi.org/10.52949/69.

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Not opening scientific data is costly. It has been estimated that a significant share of scientific knowledge disappears every year. In a 2014 study less than half of biological datasets from the 1990s have been recovered and when possible the recovery has necessitated significant time and efforts. In comparison, 98% of datasets published on PLOS with unique identifiers (data DOIs) are still available for future research. Open scientific data are fundamental resources for a large variety of scientific activities: meta-analysis, replication of research results or accessibility to primary source
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Blanc, Isabelle, Roberto Di Cosmo, Mathieu Giraud, et al. Highlights of the "Software Pillar of Open Science" workshop. Ministère de l’enseignement supérieur et de la recherche, 2024. http://dx.doi.org/10.52949/53.

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Software has become essential in all areas of scientific research, both as a tool for research, a product of research, and a research object in itself. In the quest to make research results reproducible, and pass knowledge to future generations, we must preserve three main pillars: the research articles that describe the results, the data sets used or produced, and the software source code that embodies the logic of the data transformation. Indeed, the preservation of software source code is as essential as preserving research articles and data sets. The main aim of this in-person half-day eve
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Ruediger, Dylan, Ruby MacDougall, Danielle Cooper, Jake Carlson, Joel Herndon, and Lisa Johnston. Leveraging Data Communities to Advance Open Science: Findings from an Incubation Workshop Series. Ithaka S+R, 2022. http://dx.doi.org/10.18665/sr.317145.

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Several recent studies have indicated that large numbers of researchers in many STEM fields now accept the value of openly sharing research data. Yet, the actual practice of sharing data—especially in forms that comply with FAIR principles—remains a challenge for many researchers to integrate into their workflows and prioritize among the demands on their time. However, sustained funding from federal agencies in the United States and important initiatives in other countries are creating a growing infrastructure for open sharing of research data. In the US context, the most visible fruits of the
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9

Semerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2651.

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It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, th
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10

Langlais, Pierre-Carl. Diamond open access. Comité pour la science ouverte, 2023. https://doi.org/10.52949/77.

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Contrary to a widespread belief that open access publications are paid by their authors, a significant amount of scientific articles are published with no fees to both readers and authors (or “Diamond” model). In 2021, it is estimated that between 17,000 and 29,000 scientific journals rely on a Diamond model. 73% of the journals registered in the Directory of Open Access Journals charge no fee. The Diamond model is attested on a world wide scale. It is especially prevalent in Latin America (95% of journals) following the emergence of large publicly-supported platforms, such as SciELO and Redal
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