Relevant bibliographies by topics / Research data reuse

Contents

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

Academic literature on the topic 'Research data reuse'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Research data reuse"

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Scoulas, Jung Mi. "Learning from data reuse: successful and failed experiences in a large public research university library." IASSIST Quarterly 44, no. 1-2 (2020): 1–15. http://dx.doi.org/10.29173/iq966.

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This paper illustrates a large research university library experience in reusing the data for research collected both within and outside of the library to demonstrate data reuse practice. The purpose of the paper is to 1) demonstrate when and how data are reused in a large public research university library, 2) share tips on what to consider when reusing data, and 3) share challenges and lessons learned from data reuse experiences. This paper presents five proposed opportunities for data reuse conducted by three researchers at the institution’s library which resulted in three successful instan
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Chauvette, Amelia, Kara Schick-Makaroff, and Anita E. Molzahn. "Open Data in Qualitative Research." International Journal of Qualitative Methods 18 (January 1, 2019): 160940691882386. http://dx.doi.org/10.1177/1609406918823863.

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There is a growing movement for research data to be accessed, used, and shared by multiple stakeholders for various purposes. The changing technological landscape makes it possible to digitally store data, creating opportunity to both share and reuse data anywhere in the world for later use. This movement is growing rapidly and becoming widely accepted as publicly funded agencies are mandating that researchers open their research data for sharing and reuse. While there are numerous advantages to use of open data, such as facilitating accountability and transparency, not all data are created eq
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Briney, Kristin, Heather Coates, and Abigail Goben. "Foundational Practices of Research Data Management." Research Ideas and Outcomes 6 (July 27, 2020): e56508. https://doi.org/10.3897/rio.6.e56508.

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The importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity. Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-co
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Boté, Juan-José, and Miquel Termens. "Reusing Data Technical and Ethical Challenges." DESIDOC Journal of Library & Information Technology 39, no. 06 (2019): 329–37. http://dx.doi.org/10.14429/djlit.39.06.14807.

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Research centres, universities and public organisations create datasets that can be reused in research. Reusing data makes it possible to reproduce studies, generate new research questions and new knowledge, but it also gives rise to technical and ethical challenges. Part of these issues are repositories interoperability to accomplish FAIR principles or issues related to data privacy or anonymity. At the same time, funding institutions require that data management plans be submitted for grants, and research tends to be increasingly interdisciplinary. Interdisciplinarity may entail barriers for
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Li, Kai, Pao-Pei Huang, and Wei Jeng. "Are data papers cited as research data? Preliminary analysis on interdisciplinary data paper citations." Information Research an international electronic journal 30, iConf (2025): 1225–33. https://doi.org/10.47989/ir30iconf46918.

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Introduction. Research data sharing and reuse have become increasingly important in modern science, and data papers represent a new academic publication genre aimed at enhancing the visibility, sharing, and reuse of research data. However, whether citations to data papers reflect actual data reuse remains largely unexplored. This paper presents preliminary findings from a project designed to address this gap. Method. we conducted a content analysis to manually annotate 437 citation sentences from 309 research articles referencing 50 data papers published in Data in Brief, a chief academic jour
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Semeler, Alexandre Ribas, Luana Farias Sales, Adilson Luiz Pinto, Roberta Pereira da Silva de Paula, Valquer Cleyton Paes Gandra, and Heloisa Costa. "Defining geosciences research data through metadata reuse:." Biblios Journal of Librarianship and Information Science, no. 87 (February 7, 2025): e009. https://doi.org/10.5195/biblios.2024.1233.

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Objective. Research data refers to factual records used as primary scientific research resources. Reusing research data metadata provides a new perspective, allowing the presentation of new tests, hypotheses, and new research developments. This study aims to identify the nature of the types of Geosciences research data based on the reuse of metadata from the PANGEA Data Publisher for Earth and Environmental Science available at (https://www.pangaea.de/). The research question to be analyzed is “Can the processes of analyzing and manipulating PANGEA research data metadata be used to define a co
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Bishop, Libby, and Arja Kuula-Luumi. "Revisiting Qualitative Data Reuse." SAGE Open 7, no. 1 (2017): 215824401668513. http://dx.doi.org/10.1177/2158244016685136.

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Secondary analysis of qualitative data entails reusing data created from previous research projects for new purposes. Reuse provides an opportunity to study the raw materials of past research projects to gain methodological and substantive insights. In the past decade, use of the approach has grown rapidly in the United Kingdom to become sufficiently accepted that it must now be regarded as mainstream. Several factors explain this growth: the open data movement, research funders’ and publishers’ policies supporting data sharing, and researchers seeing benefits from sharing resources, including
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LaFlamme, Marcel, Marion Poetz, and Daniel Spichtinger. "Seeing oneself as a data reuser: How subjectification activates the drivers of data reuse in science." PLOS ONE 17, no. 8 (2022): e0272153. http://dx.doi.org/10.1371/journal.pone.0272153.

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Considerable resources are being invested in strategies to facilitate the sharing of data across domains, with the aim of addressing inefficiencies and biases in scientific research and unlocking potential for science-based innovation. Still, we know too little about what determines whether scientific researchers actually make use of the unprecedented volume of data being shared. This study characterizes the factors influencing researcher data reuse in terms of their relationship to a specific research project, and introduces subjectification as the mechanism by which these influencing factors
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Joo, Soohyung, Sujin Kim, and Youngseek Kim. "An exploratory study of health scientists’ data reuse behaviors." Aslib Journal of Information Management 69, no. 4 (2017): 389–407. http://dx.doi.org/10.1108/ajim-12-2016-0201.

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Purpose The purpose of this paper is to examine how health scientists’ attitudinal, social, and resource factors affect their data reuse behaviors. Design/methodology/approach A survey method was utilized to investigate to what extent attitudinal, social, and resource factors influence health scientists’ data reuse behaviors. The health scientists’ data reuse research model was validated by using partial least squares (PLS) based structural equation modeling technique with a total of 161 health scientists in the USA. Findings The analysis results showed that health scientists’ data reuse inten
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Joo, Yeon Kyoung, and Youngseek Kim. "Engineering researchers’ data reuse behaviours: a structural equation modelling approach." Electronic Library 35, no. 6 (2017): 1141–61. http://dx.doi.org/10.1108/el-08-2016-0163.

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Purpose The purpose of this research is to investigate the factors that influence engineering researchers’ data reuse behaviours. Design/methodology/approach The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded. Findings The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data
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Dissertations / Theses on the topic "Research data reuse"

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Silva, Daniel Lins da. "Estratégia computacional para apoiar a reprodutibilidade e reuso de dados científicos baseado em metadados de proveniência." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-05092017-095907/.

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A ciência moderna, apoiada pela e-science, tem enfrentado desafios de lidar com o grande volume e variedade de dados, gerados principalmente pelos avanços tecnológicos nos processos de coleta e processamento dos dados científicos. Como consequência, houve também um aumento na complexidade dos processos de análise e experimentação. Estes processos atualmente envolvem múltiplas fontes de dados e diversas atividades realizadas por grupos de pesquisadores geograficamente distribuídos, que devem ser compreendidas, reutilizadas e reproduzíveis. No entanto, as iniciativas da comunidade científica que
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LAZAROVA, ELENA. "An Interoperable Clinical Cardiology Electronic Health Record System - a standards based approach for Clinical Practice and Research with Data Reuse." Doctoral thesis, Università degli studi di Genova, 2022. https://hdl.handle.net/11567/1103145.

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Currently in hospitals, several information systems manage, very often autonomously, the patient’s personal, clinical and diagnostic data. This originates a clinical information management system consisting of a myriad of independent subsystems which, although efficient in their specific purpose, make the integration of the whole system very difficult and limit the use of clinical data, especially as regards the reuse of these data for research purposes. Mainly for these reasons, the management of the Genoese ASL3 decided to commission the University of Genoa to set up a medical record system
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Friedrich, Tanja. "Looking for data." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/22173.

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Die Informationsverhaltensforschung liefert zahlreiche Erkenntnisse darüber, wie Menschen Informationen suchen, abrufen und nutzen. Wir verfügen über Forschungsergebnisse zu Informationsverhaltensmustern in einem breiten Spektrum von Kontexten und Situationen, aber wir wissen nicht genug über die Informationsbedürfnisse und Ziele von Forschenden hinsichtlich der Nutzung von Forschungsdaten. Die Informationsverhaltensforschung gibt insbesondere Aufschluss über das literaturbezogene Informationsverhalten. Die vorliegende Studie basiert auf der Annahme, dass diese Erkenntnisse nicht ohne weiteres
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Bouzillé, Guillaume. "Enjeux et place des data sciences dans le champ de la réutilisation secondaire des données massives cliniques : une approche basée sur des cas d’usage." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1B023/document.

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La dématérialisation des données de santé a permis depuis plusieurs années de constituer un véritable gisement de données provenant de tous les domaines de la santé. Ces données ont pour caractéristiques d’être très hétérogènes et d’être produites à différentes échelles et dans différents domaines. Leur réutilisation dans le cadre de la recherche clinique, de la santé publique ou encore de la prise en charge des patients implique de développer des approches adaptées reposant sur les méthodes issues de la science des données. L’objectif de cette thèse est d’évaluer au travers de trois cas d’usa
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Books on the topic "Research data reuse"

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Mannheimer, Sara. Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-49222-8.

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Australia. Department of Education, Science, and Training, Pappalardo Kylie, Fitzgerald Brian F, OAK Law Project, and Legal Framework for e-Research Project, eds. Building the infrastructure for data access and reuse in collaborative research: An analysis of the legal context. Open Access to Knowledge (OAK) Law Project, 2007.

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United States. General Accounting Office, ed. Financial management: Senate observations and counts. The Office, 1998.

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United States. General Accounting Office. Accounting and Information Management Division. Financial management: Financial reporting issues related to the Navy's Direct Vendor Delivery initiative. The Office, 2000.

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Mannheimer, Sara. Scaling up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research. Springer International Publishing AG, 2024.

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Case Study Strategies for Architects and Designers: Integrative Data Research Methods. Routledge, 2017.

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Sarvimaki, Marja. Case Study Strategies for Architects and Designers: Integrative Data Research Methods. Taylor & Francis Group, 2017.

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Sarvimaki, Marja. Case Study Strategies for Architects and Designers: Integrative Data Research Methods. Taylor & Francis Group, 2017.

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Colletti, Marjan. Digital Poetics: An Open Theory of Design-Research in Architecture. Taylor & Francis Group, 2017.

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Colletti, Marjan. Digital Poetics: An Open Theory of Design-Research in Architecture. Taylor & Francis Group, 2017.

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Book chapters on the topic "Research data reuse"

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Cascini, Fidelia. "Electronic Health Data Reuse Purposes." In SpringerBriefs in Public Health. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-88497-9_2.

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Abstract This chapter elaborates on several fields of electronic health data (EHD) reuse in healthcare, mainly for public interest reasons. Real-life examples of EHD reuse in epidemiology, including insights into how EHD is applied in surveillance and occupational health, are provided in the first section. The second section elaborates how EHD can be reused in supporting institutional activities and policy making: project examples carried out by eminent health institutions around the globe, such as the global World Health Organization (WHO), the continental European Centre for Disease Preventi
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Skvortsov, Nikolay A. "Meaningful Data Reuse in Research Communities." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23584-0_3.

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Kush, Rebecca Daniels, and Amy Harris Nordo. "Data Sharing and Reuse of Health Data for Research." In Health Informatics. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-98779-8_18.

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Kush, Rebecca Daniels. "Data Sharing and Reuse of Health Data for Research." In Health Informatics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27173-1_9.

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Mannheimer, Sara. "Qualitative Data Reuse in Practice." In Scaling Up: How Data Curation Can Help Address Key Issues in Qualitative Data Reuse and Big Social Research. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-49222-8_3.

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Jansen, Paula, Linda van den Berg, Petra van Overveld, and Jan-Willem Boiten. "Research Data Stewardship for Healthcare Professionals." In Fundamentals of Clinical Data Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99713-1_4.

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AbstractResearch data stewardship refers to the long-term and sustainable care for research data, from study design to data collection, analysis, storage, and sharing. It involves all activities that are required to ensure that digital research data is findable, accessible, interoperable, and reusable (FAIR) in the long term, including data management, archiving, and reuse by third parties. This chapter provides an overview of the aspects of FAIR data stewardship that you should consider when you are involved in clinical research.
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Edmond, Jennifer, and Georgina Nugent Folan. "Data, Metadata, Narrative. Barriers to the Reuse of Cultural Sources." In Metadata and Semantic Research. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70863-8_25.

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Devare, Medha, Elizabeth Arnaud, Erick Antezana, and Brian King. "Governing Agricultural Data: Challenges and Recommendations." In Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13276-6_11.

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AbstractThe biomedical domain has shown that in silico analyses over vast data pools enhances the speed and scale of scientific innovation. This can hold true in agricultural research and guide similar multi-stakeholder action in service of global food security as well (Streich et al. Curr Opin Biotechnol 61:217–225. Retrieved from https://doi.org/10.1016/j.copbio.2020.01.010, 2020). However, entrenched research culture and data and standards governance issues to enable data interoperability and ease of reuse continue to be roadblocks in the agricultural research for development sector. Effect
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Rodosthenous, Christos, and Dimitris Michail. "Enabling Publishing and Reuse of Government Data Through the Republic of Cyprus Open Data Portal." In Metadata and Semantic Research. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98876-0_26.

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Bilderbeek, Richèl J. C. "Making Research Code Useful Paradata." In Knowledge Management and Organizational Learning. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-53946-6_3.

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AbstractParadata is data about the data collection process that allows use and reuse of data. Within the context of computational research, computer code is the paradata of an experiment, allowing the study to be reproduced. A recent study recommended how to make paradata (more) useful, for paradata in general. This study applies those recommendations to computer code, using the field of genetic epidemiology as an example. The chapter concludes by some rules how to better code to serve as paradata, and hence allowing computational research to be more reproducible.
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Conference papers on the topic "Research data reuse"

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Wu, Weijie, Jiaxuan Wang, Caiwang Zan, et al. "Research progress on reuse of steel structures in Mainland China." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0180.

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<p>Steel reuse is definitely the most direct and effective way to develop the green nature of steel structures. Corresponding design guidelines and specifications in several countries and regions were published to promote the steel reuse practice. Nevertheless, the existing documents could be only employed for the reuse of elastic steel members. In Mainland China, a number of steel structures would suffer low-intensity earthquake actions, fatigue loads, corrosion influences, etc. The mechanical performance of members in such structures may decrease to a certain extent, while, could proba
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Lukashov, Ivan, and Alexander Antonov. "TRANSACTION-LEVEL DESIGNING OF NEUROMORPHIC PROCESSORS MICROARCHITECTURE." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s07.11.

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Spiking neural networks (SNNs) is a promising research direction to their ability to imitate certain functions of brain. Hardware acceleration of SNN can offer orders of magnitude increase in performance and power efficiency. However, traditional hardware description languages have a barrier for rapid development and prototyping of custom internal hardware mechanisms that affect hardware construction throughout the entire processor structure. Mainstream high-level design methods also have disadvantages, e.g. poor focus on transaction streams management description in dynamically scheduled pipe
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Gonzales Martinez, Rosa, Jorge Morato Lara, Omar Hurtado Jara, and Anabel Fraga Vasquez. "Data Base Reuse Methodology - ReTARI." In 2009 Third International Conference on Research Challenges in Information Science (RCIS). IEEE, 2009. http://dx.doi.org/10.1109/rcis.2009.5089301.

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Kim, Suntae, and Myung-Seok Choi. "Study on data center and data librarian role for reuse of research data." In 2016 8th International Conference on Knowledge and Smart Technology (KST). IEEE, 2016. http://dx.doi.org/10.1109/kst.2016.7440517.

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Sun, Qian. "Research on Civil Airborne Software Reuse Technology." In Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China. EAI, 2023. http://dx.doi.org/10.4108/eai.2-6-2023.2334651.

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Katulic, Tihomir, and Anita Katulic. "GDPR and the reuse of personal data in scientific research." In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018. http://dx.doi.org/10.23919/mipro.2018.8400237.

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Kim, Inhan. "A Design System for Concurrent Reuse of Architectural Data." In CAADRIA 1996: The Introduction of Technology: CAAD Teaching and Research Directions in Asia. CAADRIA, 1996. http://dx.doi.org/10.52842/conf.caadria.1996.163.

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Kim, Inhan. "A Design System for Concurrent Reuse of Architectural Data." In CAADRIA 1996: The Introduction of Technology: CAAD Teaching and Research Directions in Asia. CAADRIA, 1996. http://dx.doi.org/10.52842/conf.caadria.1996.163.

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Moller, Julius, Dennis Jankowski, and Axel Hahn. "Towards an Architecture to Support Data Access in Research Data Spaces." In 2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI). IEEE, 2021. http://dx.doi.org/10.1109/iri51335.2021.00049.

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Lian, Jingwen. "User-centered Research on Cultural Heritage Open Data Access and Reuse." In JCDL '24: 24th ACM/IEEE Joint Conference on Digital Libraries. ACM, 2024. https://doi.org/10.1145/3677389.3702614.

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Reports on the topic "Research data reuse"

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Silver, Rita, Dennis Beng Kiat Kwek, and Galyna Kogut. Re-designing NIE’s research project data use and management: Building research resources, enhancing research ethics and improving research practices. National Institute of Education, Nanyang Technological University, Singapore, 2024. https://doi.org/10.32658/10497/27388.

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It is a truism of educational research that almost all data are seriously under-analysed; unless data collection is tightly designed to test a specific hypothesis, the original researcher will explore only a fraction of its potential (Corti, 2000). To attempt to extend the utility of research data, an increasing number of researchers and research institutes are encouraging the archiving and sharing of research data (Backhouse, 2002; Corti, 2000; Corti et al., 1995; UK Data Archive, 2013; Parry & Mauthner, 2004; Qualidata, 2013; SIDOS, 2013; Thompson, 2003). Subsequently, data are now incre
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García-Espinosa, J., and C. Soriano. Data management plan. Scipedia, 2021. http://dx.doi.org/10.23967/prodphd.2021.9.003.

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This document presents the deliverable D8.1 – the Data Management Plan (DMP) of work package 8 of the prodPhD project. It aims to present the plan for the management, generation, collection, security, preservation and sharing of data generated through the prodPhD project. The DMP is a key element for organizing the project’s data. It provides an analysis of the data, which will be collected, processed and published by the prodPhD consortium. The project embraces the initiatives of the European Commission to promote the open access to research data, aiming to improve and maximize access to and
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Soenen, Karen, Dana Gerlach, Christina Haskins, et al. How can BCO-DMO help with your oceanographic data? How can BCO-DMO help with your oceanographic data?, 2021. http://dx.doi.org/10.1575/1912/27803.

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BCO-DMO curates a database of research-ready data spanning the full range of marine ecosystem related measurements including in-situ and remotely sensed observations, experimental and model results, and synthesis products. We work closely with investigators to publish data and information from research projects supported by the National Science Foundation (NSF), as well as those supported by state, private, and other funding sources. BCO-DMO supports all phases of the data life cycle and ensures open access of well-curated project data and information. We employ F.A.I.R. Principles that compri
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Ron, Alexa. Pilot Terrestrial Vegetation Monitoring in the Southeastern United States, 2009-2010 - Data Release Report. National Park Service, 2025. https://doi.org/10.36967/2303058.

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Data Release Reports (DRR) are created by the National Park Service and provide detailed descriptions of valuable research datasets in a human-readable format, including the methods used to collect the data and technical analyses supporting the quality of the measurements. DRRs focus on helping others reuse data rather than presenting results, testing hypotheses, or presenting new interpretations and in-depth analyses. Pilot terrestrial vegetation monitoring occurred in eleven Southeast Coast Network (SECN) parks in 2009 and 2010 and evaluated trends in plant cover, frequency, diversity and di
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Hobbs, Abigail, and Sarah Kelso. [PILOT] Herpetological Monitoring Surveys for the Southeast Coast Network: 2009-2010 - Data Release Report. National Park Service, 2025. https://doi.org/10.36967/2303227.

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Data Release Reports (DRR) are created by the National Park Service and provide detailed descriptions of valuable research datasets in a human-readable format, including the methods used to collect the data and technical analyses supporting the quality of the measurements. DRRs focus on helping others reuse data rather than presenting results, testing hypotheses, or presenting new interpretations and in-depth analyses. Pilot herpetological surveys were conducted in Cape Hatteras National Seashore, Cape Lookout National Seashore, Canaveral National Seashore, Congaree National Park, Cumberland I
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Cole, Christian, Gordon Milligan, Antony Chuter, et al. How lived experience can inform and direct pain projects: Alleviate Pain Data Hub as a case study. University of Dundee, 2024. https://doi.org/10.20933/100001357.

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BACKGROUND: Chronic pain affects a large proportion of the general population – at least 34% of adults in the UK - and it has a huge impact on people’s lives as well as the workplace and health services, accounting for more than 75% of the years lived with disability. Despite this, chronic pain is poorly captured in clinical data which makes it difficult to identify appropriate patient cohorts especially for retrospective observational studies. A different model for pain-related projects is to include the patient voice directly into the team with the addition of funded patient members. Here we
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Lischer-Katz, Zack, Rashida Braggs, and Bryan Carter. Investigating Volumetric Video Creation and Curation for the Digital Humanities: a White Paper Describing Findings from the Project: Preserving BIPOC Expatriates’ Memories During Wartime and Beyond. The University of Arizona Libraries, 2024. http://dx.doi.org/10.2458/10150.674673.

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Volumetric video capture technologies offer humanities scholars and other researchers new, immersive ways of engaging with historical and cultural knowledge for research and pedagogical purposes; however, the high cost of this technology and a paucity of expert knowledge in the field have limited its adoption. In particular, volumetric video offers rich new possibilities for recording, preserving, and re-experiencing BIPOC (Black, indigenous, and other people of color) stories in immersive detail, which have been underrepresented in the historical record. This technology is still experimental
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