Journal Article

Reusing Scientific Data: How Earthquake Engineering Researchers Assess the Reusability of Colleagues’ Data

Thumbnail Image

Fulltext URI

Document type

Text/Journal Article

Additional Information

Date

2010, 2010

Authors

Journal Title

Journal ISSN

Volume Title

Source

Computer Supported Cooperative Work (CSCW): Vol. 19, No. 3-4

Publisher

Springer

Abstract

Investments in cyberinfrastructure and e-Science initiatives are motivated by the desire to accelerate scientific discovery. Always viewed as a foundation of science, data sharing is appropriately seen as critical to the success of such initiatives, but new technologies supporting increasingly data-intensive and collaborative science raise significant challenges and opportunities. Overcoming the technical and social challenges to broader data sharing is a common and important research objective, but increasing the supply and accessibility of scientific data is no guarantee data will be applied by scientists. Before reusing data created by others, scientists need to assess the data’s relevance, they seek confidence the data can be understood, and they must trust the data. Using interview data from earthquake engineering researchers affiliated with the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES), we examine how these scientists assess the reusability of colleagues’ experimental data for model validation.

Description

Faniel, Ixchel M.; Jacobsen, Trond E. (2010): Reusing Scientific Data: How Earthquake Engineering Researchers Assess the Reusability of Colleagues’ Data. Computer Supported Cooperative Work (CSCW): Vol. 19, No. 3-4. DOI: 10.1007/s10606-010-9117-8. Springer. PISSN: 1573-7551. pp. 355-375

Keywords

cyberinfrastructure, data quality, data repositories, data reuse, data sharing, e-Science, scientific data collections, trust

Citation

DOI

10.1007/s10606-010-9117-8

URI

URI

http://dx.doi.org/10.1007/s10606-010-9117-8
 https://dl.eusset.eu/handle/20.500.12015/3971

Collections

JCSCW Vol. 19 (2010)

Endorsement

Review

Supplemented By

Referenced By

Number of citations to item: 121

  • Lynn Silipigni Connaway, Ixchel M. Faniel (2015): Reordering Ranganathan: Shifting User Behaviours, Shifting Priorities, In: SRELS Journal of Information Management, doi:10.17821/srels/2015/v52i1/57547
  • Christine L. Borgman (2011): The Conundrum of Sharing Research Data, In: SSRN Electronic Journal, doi:10.2139/ssrn.1869155
  • Bethany Anderson, Fynnette Eaton, Scott W. Schwartz (2015): Archival Appraisal and the Digital Record: Applying Past Tradition for Future Practice, In: New Review of Information Networking 1-2(20), doi:10.1080/13614576.2015.1114823
  • Maryam Bugaje, Gobinda Chowdhury (2018): Identifying Design Requirements of a User-Centered Research Data Management System, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-04257-8_35
  • Peter T. Darch, Emily J.M. Knox (2017): Ethical perspectives on data and software sharing in the sciences: A research agenda, In: Library & Information Science Research 4(39), doi:10.1016/j.lisr.2017.11.008
  • Adina Howe, Michael Howe, Amy L. Kaleita, D. Raj Raman (2017): Imagining tomorrow's university: open science and its impact, In: F1000Research, doi:10.12688/f1000research.11232.1
  • Ixchel Faniel, Eric Kansa, Sarah Whitcher Kansa, Julianna Barrera-Gomez, Elizabeth Yakel (2013): The challenges of digging data, In: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries, doi:10.1145/2467696.2467712
  • Andrea K. Thomer, Karen M. Wickett, Karen S. Baker, Bruce W. Fouke, Carole L. Palmer (2018): Documenting provenance in noncomputational workflows: Research process models based on geobiology fieldwork in Yellowstone National Park, In: Journal of the Association for Information Science and Technology 10(69), doi:10.1002/asi.24039
  • Ixchel M. Faniel, Adam Kriesberg, Elizabeth Yakel (2012): Data reuse and sensemaking among novice social scientists, In: Proceedings of the American Society for Information Science and Technology 1(49), doi:10.1002/meet.14504901068
  • Peter Thomas Darch (2022): The core of the matter: How do scientists judge trustworthiness of physical samples?, In: Frontiers in Research Metrics and Analytics, doi:10.3389/frma.2022.1034595
  • Angela P. Murillo (2020): An examination of scientific data repositories, data reusability, and the incorporation of <scp>FAIR</scp>, In: Proceedings of the Association for Information Science and Technology 1(57), doi:10.1002/pra2.386
  • Youngseek Kim (2021): A study of the roles of metadata standard and data repository in science, technology, engineering and mathematics researchers' data reuse, In: Online Information Review 7(45), doi:10.1108/oir-09-2020-0431
  • Dong Joon Lee, Besiki Stvilia, Shuheng Wu (2018): Toward a metadata model for research information management systems, In: Library Hi Tech 3(38), doi:10.1108/lht-01-2018-0013
  • Adriana Alvarado Garcia, Alyson L. Young, Lynn Dombrowski (2017): On Making Data Actionable, In: Proceedings of the ACM on Human-Computer Interaction CSCW(1), doi:10.1145/3134654
  • Anil Ufuk Batmaz, Wolfgang Stuerzlinger (2022): Effective Throughput Analysis of Different Task Execution Strategies for Mid-Air Fitts' Tasks in Virtual Reality, In: IEEE Transactions on Visualization and Computer Graphics 11(28), doi:10.1109/tvcg.2022.3203105
  • Youngseek Kim, Ayoung Yoon (2017): Scientists' data reuse behaviors: A multilevel analysis, In: Journal of the Association for Information Science and Technology 12(68), doi:10.1002/asi.23892
  • Götz Hoeppe (2021): Encoding Collective Knowledge, Instructing Data Reusers: The Collaborative Fixation of a Digital Scientific Data Set, In: Computer Supported Cooperative Work (CSCW) 4(30), doi:10.1007/s10606-021-09407-2
  • Adina Howe, Michael Howe, Amy L. Kaleita, D. Raj Raman (2017): Imagining tomorrow's university in an era of open science, In: F1000Research, doi:10.12688/f1000research.11232.2
  • Otmane Azeroual (2021): Datenqualität und -kuratierung als Voraussetzung für Open Research Data, In: Information - Wissenschaft &amp; Praxis 4(72), doi:10.1515/iwp-2021-2158
  • Lauren Thornton, Bran Knowles, Gordon Blair (2022): The Alchemy of Trust: The Creative Act of Designing Trustworthy Socio-Technical Systems, In: 2022 ACM Conference on Fairness, Accountability, and Transparency, doi:10.1145/3531146.3533196
  • Drew Paine, Charlotte P. Lee (2020): Coordinative Entities: Forms of Organizing in Data Intensive Science, In: Computer Supported Cooperative Work (CSCW) 3(29), doi:10.1007/s10606-020-09372-2
  • Jihyun Kim, Kara Suzuka, Elizabeth Yakel (2020): Reusing qualitative video data: matching reuse goals and criteria for selection, In: Aslib Journal of Information Management 3(72), doi:10.1108/ajim-08-2019-0215
  • Peter T. Darch, Christine L. Borgman (2014): Ship space to database: Motivations to manage research data for the deep subseafloor biosphere, In: Proceedings of the American Society for Information Science and Technology 1(51), doi:10.1002/meet.2014.14505101056
  • Arsev Umur Aydinoglu, Guleda Dogan, Zehra Taskin (2017): Research data management in Turkey: perceptions and practices, In: Library Hi Tech 2(35), doi:10.1108/lht-11-2016-0134
  • Andrea K. Thomer (2022): Integrative data reuse at scientifically significant sites: Case studies at Yellowstone National Park and the La Brea Tar Pits, In: Journal of the Association for Information Science and Technology 8(73), doi:10.1002/asi.24620
  • Elizabeth Martín-Mora, Shari Ellis, Lawrence M. Page (2020): Use of web-based species occurrence information systems by academics and government professionals, In: PLOS ONE 7(15), doi:10.1371/journal.pone.0236556
  • Erik H. Trainer, Chalalai Chaihirunkarn, Arun Kalyanasundaram, James D. Herbsleb (2015): From Personal Tool to Community Resource, In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &amp; Social Computing, doi:10.1145/2675133.2675172
  • Gerard Oleksik, Natasa Milic-Frayling, Rachel Jones (2012): Beyond data sharing, In: Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, doi:10.1145/2145204.2145376
  • Ixchel M. Faniel, Elizabeth Yakel (2011): Significant Properties as Contextual Metadata, In: Journal of Library Metadata 3-4(11), doi:10.1080/19386389.2011.629959
  • Sebastian S. Feger, Paweł W. Wozniak, Lars Lischke, Albrecht Schmidt (2020): 'Yes, I comply!', In: Proceedings of the ACM on Human-Computer Interaction CSCW2(4), doi:10.1145/3415212
  • Sarah M. Nusser (2023): The Role of Statistics in Promoting Data Reusability and Research Transparency, In: Annual Review of Statistics and Its Application 1(10), doi:10.1146/annurev-statistics-033121-105114
  • Ana Trisovic, Katherine Mika, Ceilyn Boyd, Sebastian Feger, Mercè Crosas (2021): Repository Approaches to Improving the Quality of Shared Data and Code, In: Data 2(6), doi:10.3390/data6020015
  • Laura Koesten, Emilia Kacprzak, Jeni Tennison, Elena Simperl (2019): Collaborative Practices with Structured Data, In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, doi:10.1145/3290605.3300330
  • Xiaoguang Wang, Qingyu Duan, Mengli Liang (2021): Understanding the process of data reuse: An extensive review, In: Journal of the Association for Information Science and Technology 9(72), doi:10.1002/asi.24483
  • Joohee Choi, Yla Tausczik (2017): Characteristics of Collaboration in the Emerging Practice of Open Data Analysis, In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, doi:10.1145/2998181.2998265
  • Besiki Stvilia, Charles C. Hinnant, Shuheng Wu, Adam Worrall, Dong Joon Lee, Kathleen Burnett, Gary Burnett, Michelle M. Kazmer, Paul F. Marty (2014): Research project tasks, data, and perceptions of data quality in a condensed matter physics community, In: Journal of the Association for Information Science and Technology 2(66), doi:10.1002/asi.23177
  • Renata Curty, Ayoung Yoon, Wei Jeng, Jian Qin (2016): Untangling data sharing and reuse in social sciences, In: Proceedings of the Association for Information Science and Technology 1(53), doi:10.1002/pra2.2016.14505301025
  • Albert I. Ugochukwu, Peter W.B. Phillips (2024): Open data ownership and sharing: Challenges and opportunities for application of FAIR principles and a checklist for data managers, In: Journal of Agriculture and Food Research, doi:10.1016/j.jafr.2024.101157
  • Sue Childs, Julie McLeod, Elizabeth Lomas, Glenda Cook (2014): Opening research data: issues and opportunities, In: Records Management Journal 2(24), doi:10.1108/rmj-01-2014-0005
  • Rituparna Basak (2023): OPEN DATA CULTURE IN SOCIAL SCIENCE RESEARCH, In: International Journal of Research -GRANTHAALAYAH 5(11), doi:10.29121/granthaalayah.v11.i5.2023.5167
  • Laura Koesten, Pavlos Vougiouklis, Elena Simperl, Paul Groth (2020): Dataset Reuse: Toward Translating Principles to Practice, In: Patterns 8(1), doi:10.1016/j.patter.2020.100136
  • Alyson L. Young, Wayne G. Lutters (2015): (Re)defining Land Change Science through Synthetic Research Practices, In: Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &amp; Social Computing, doi:10.1145/2675133.2675183
  • Peter T. Darch, Ashley E. Sands (2017): Uncertainty about the Long-Term: Digital Libraries, Astronomy Data, and Open Source Software, In: 2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL), doi:10.1109/jcdl.2017.7991584
  • Besiki Stvilia, Yuanying Pang, Dong Joon Lee, Fatih Gunaydin (2024): Data quality assurance practices in research data repositories—A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper, In: Journal of the Association for Information Science and Technology 1(76), doi:10.1002/asi.24948
  • Kai Li, Jane Greenberg, Jillian Dunic (2019): Data objects and documenting scientific processes: An analysis of data events in biodiversity data papers, In: Journal of the Association for Information Science and Technology 2(71), doi:10.1002/asi.24226
  • Franziska Usée, Christiane A. Melzig, Dirk Ostwald (2024): Use it or lose it: Facilitating the use of interactive data apps in psychological research data sharing, In: Europe’s Journal of Psychology 3(20), doi:10.5964/ejop.12811
  • Carole L. Palmer, Nicholas M. Weber, Melissa H. Cragin (2011): Analytic potential of data, In: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries, doi:10.1145/1998076.1998167
  • Tiffany C. Chao (2014): Enhancing metadata for research methods in data curation, In: Proceedings of the American Society for Information Science and Technology 1(51), doi:10.1002/meet.2014.14505101103
  • Irene V. Pasquetto, Bernadette M. Randles, Christine L. Borgman (2017): On the Reuse of Scientific Data, In: Data Science Journal, doi:10.5334/dsj-2017-008
  • Elizabeth Yakel, Rebecca D Frank, Kara Suzuka, Jasmine Smith (2021): Visibilities and invisibilities in data reuse: video records of practice in education, In: Qualitative Research 6(22), doi:10.1177/14687941211005955
  • Соня ПАСКУА, Sonia PASCUA, Кай ЛИ, Kai LI (2020): Построение матрицы активности метаданных: концептуализация и обоснование связей между жизненным циклом исследований и метаданными, In: Международный форум по информации 4(45), doi:10.36535/0203-6460-2020-04-4
  • Jillian C. Wallis, Elizabeth Rolando, Christine L. Borgman (2013): If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology, In: PLoS ONE 7(8), doi:10.1371/journal.pone.0067332
  • Renata Gonçalves Curty, Jian Qin (2014): Towards a model for research data reuse behavior, In: Proceedings of the American Society for Information Science and Technology 1(51), doi:10.1002/meet.2014.14505101072
  • Drew Paine, Lavanya Ramakrishnan (2019): Surfacing Data Change in Scientific Work, In: Lecture Notes in Computer Science, doi:10.1007/978-3-030-15742-5_2
  • Rob Lokers, Yke van Randen, Rob Knapen, Stephan Gaubitzer, Sergey Zudin, Sander Janssen (2015): Improving Access to Big Data in Agriculture and Forestry Using Semantic Technologies, In: Communications in Computer and Information Science, doi:10.1007/978-3-319-24129-6_32
  • Christine L. Borgman (2012): The conundrum of sharing research data, In: Journal of the American Society for Information Science and Technology 6(63), doi:10.1002/asi.22634
  • Alex H. Poole (2016): The conceptual landscape of digital curation, In: Journal of Documentation 5(72), doi:10.1108/jd-10-2015-0123
  • Peter T. Darch, Christine L. Borgman, Sharon Traweek, Rebekah L. Cummings, Jillian C. Wallis, Ashley E. Sands (2015): What lies beneath?: Knowledge infrastructures in the subseafloor biosphere and beyond, In: International Journal on Digital Libraries 1(16), doi:10.1007/s00799-015-0137-3
  • Mari Louise Mallasvik, Jorge Tiago Martins (2020): Research data sharing behaviour of engineering researchers in Norway and the UK: uncovering the double face of Janus, In: Journal of Documentation 2(77), doi:10.1108/jd-08-2020-0135
  • Jihyun Kim (2017): Data Sharing from the Perspective of Faculty in Korea, In: Libri 3(67), doi:10.1515/libri-2016-0116
  • Rebecca D. Frank, Elizabeth Yakel, Ixchel M. Faniel (2015): Destruction/reconstruction: preservation of archaeological and zoological research data, In: Archival Science 2(15), doi:10.1007/s10502-014-9238-9
  • John Byabazaire, Gregory O'Hare, Declan Delaney (2020): Using Trust as a Measure to Derive Data Quality in Data Shared IoT Deployments, In: 2020 29th International Conference on Computer Communications and Networks (ICCCN), doi:10.1109/icccn49398.2020.9209633
  • Yeon Kyoung Joo, Youngseek Kim (2017): Engineering researchers’ data reuse behaviours: a structural equation modelling approach, In: The Electronic Library 6(35), doi:10.1108/el-08-2016-0163
  • Ayoung Yoon (2016): Data reusers' trust development, In: Journal of the Association for Information Science and Technology 4(68), doi:10.1002/asi.23730
  • Christine L. Borgman (2020): Bibliographie, In: Qu’est-ce que le travail scientifique des données ?, doi:10.4000/books.oep.14792
  • Kai Li, Xia Lin, Jane Greenberg (2016): Software citation, reuse and metadata considerations: An exploratory study examining LAMMPS, In: Proceedings of the Association for Information Science and Technology 1(53), doi:10.1002/pra2.2016.14505301072
  • Polyxeni Vassilakopoulou, Margunn Aanestad (2019): Communal data work: Data sharing and re-use in clinical genetics, In: Health Informatics Journal 3(25), doi:10.1177/1460458219833117
  • Andrea K. Thomer, Michael Bernard Twidale, Matthew J. Yoder (2018): Transforming Taxonomic Interfaces, In: Proceedings of the ACM on Human-Computer Interaction CSCW(2), doi:10.1145/3274442
  • Qingyu Duan, Xiaoguang Wang, Ningyuan Song (2022): Reuse‐oriented data publishing: How to make the shared research data friendlier for researchers, In: Learned Publishing 1(35), doi:10.1002/leap.1444
  • Hua Qin, Lynne Davis, Matthew Mayernik, Patricia Romero Lankao, John D'Ignazio, Peter Alston (2014): Variables As Currency: Linking Meta-Analysis Research and Data Paths in Sciences, In: Data Science Journal 0(13), doi:10.2481/dsj.14-030
  • Alberto Abella, Marta Ortiz-de-Urbina-Criado, Carmen De-Pablos-Heredero (2014): &lt;i&gt;Meloda&lt;/i&gt;, métrica para evaluar la reutilización de datos abiertos, In: El Profesional de la Informacion 6(23), doi:10.3145/epi.2014.nov.04
  • Drew Paine, Charlotte P. Lee (2017): "Who Has Plots?", In: Proceedings of the ACM on Human-Computer Interaction CSCW(1), doi:10.1145/3134720
  • Renata Gonçalves Curty, Kevin Crowston, Alison Specht, Bruce W. Grant, Elizabeth D. Dalton (2017): Attitudes and norms affecting scientists’ data reuse, In: PLOS ONE 12(12), doi:10.1371/journal.pone.0189288
  • David Ribes, Charlotte P. Lee (2010): Sociotechnical Studies of Cyberinfrastructure and e-Research: Current Themes and Future Trajectories, In: Computer Supported Cooperative Work (CSCW) 3-4(19), doi:10.1007/s10606-010-9120-0
  • Mark R. Costa, Jian Qin, Sarah Bratt (2016): Emergence of collaboration networks around large scale data repositories: a study of the genomics community using GenBank, In: Scientometrics 1(108), doi:10.1007/s11192-016-1954-x
  • Betsy Rolland, Charlotte P. Lee (2013): Beyond trust and reliability, In: Proceedings of the 2013 conference on Computer supported cooperative work, doi:10.1145/2441776.2441826
  • Luciana Candida Silva, Cássia Braga Prado, Eliany Alvarenga Araújo (2024): Fatores que influenciam o processo de compartilhamento e reuso de dados de pesquisa: revisão sistemática de literatura a partir da base de dados BRAPCI, In: AtoZ: novas práticas em informação e conhecimento, doi:10.5380/atoz.v13i0.91352
  • Tibor Koltay (2022): Information and data ecologies, In: Research Data Management and Data Literacies, doi:10.1016/b978-0-12-824475-3.00001-1
  • Soohyung Joo, Sujin Kim, Youngseek Kim (2017): An exploratory study of health scientists’ data reuse behaviors, In: Aslib Journal of Information Management 4(69), doi:10.1108/ajim-12-2016-0201
  • Alysson Bolognesi Prado, Maria Cecilia Calani Baranauskas (2016): Using Stakeholder and Pragmatic Analyses to Clarify the Scenario of Data Sharing in Scientific Software, In: IFIP Advances in Information and Communication Technology, doi:10.1007/978-3-319-42102-5_19
  • Ixchel M. Faniel, Adam Kriesberg, Elizabeth Yakel (2015): Social scientists' satisfaction with data reuse, In: Journal of the Association for Information Science and Technology 6(67), doi:10.1002/asi.23480
  • Andrew B. Neang, Will Sutherland, Michael W. Beach, Charlotte P. Lee (2021): Data Integration as Coordination, In: Proceedings of the ACM on Human-Computer Interaction CSCW3(4), doi:10.1145/3432955
  • Christine L. Borgman, Peter T. Darch, Ashley E. Sands, Jillian C. Wallis, Sharon Traweek (2014): The ups and downs of knowledge infrastructures in science: Implications for data management, In: IEEE/ACM Joint Conference on Digital Libraries, doi:10.1109/jcdl.2014.6970177
  • Alyson L. Young, Wayne G. Lutters (2017): Infrastructuring for Cross-Disciplinary Synthetic Science: Meta-Study Research in Land System Science, In: Computer Supported Cooperative Work (CSCW) 1-2(26), doi:10.1007/s10606-017-9267-z
  • Laure Perrier, Erik Blondal, Heather MacDonald (2020): The views, perspectives, and experiences of academic researchers with data sharing and reuse: A meta-synthesis, In: PLOS ONE 2(15), doi:10.1371/journal.pone.0229182
  • Drew Paine, Charlotte P. Lee (2014): Producing Data, Producing Software: Developing a Radio Astronomy Research Infrastructure, In: 2014 IEEE 10th International Conference on e-Science, doi:10.1109/escience.2014.41
  • Jahoo Kim (2012): A Study on the Developing Modifications of KDC 5th ed. in Jurisprudence Field, In: Journal of Korean Library and Information Science Society 4(43), doi:10.16981/kliss.43.4.201212.5
  • John Byabazaire, Gregory M. P. O’Hare, Rem Collier, Declan Delaney (2023): IoT Data Quality Assessment Framework Using Adaptive Weighted Estimation Fusion, In: Sensors 13(23), doi:10.3390/s23135993
  • Carole L. Palmer, Nicholas M. Weber, Melissa H. Cragin (2011): The analytic potential of scientific data: Understanding re-use value, In: Proceedings of the American Society for Information Science and Technology 1(48), doi:10.1002/meet.2011.14504801174
  • Jingshan Lin, Yiping Jiang, Yanhua Chen (2024): Research on the generation mechanism and action mechanism of scientific data reuse behavior, In: The Journal of Academic Librarianship 5(50), doi:10.1016/j.acalib.2024.102921
  • David Ribes (2014): The kernel of a research infrastructure, In: Proceedings of the 17th ACM conference on Computer supported cooperative work &amp; social computing, doi:10.1145/2531602.2531700
  • Karina Kervin, Thomas Finholt, Margaret Hedstrom (2012): Macro and micro pressures in data sharing, In: 2012 IEEE 13th International Conference on Information Reuse &amp; Integration (IRI), doi:10.1109/iri.2012.6303054
  • Gregory D. Moody, Laurie J. Kirsch, Sandra A. Slaughter, Brian Kimball Dunn, Qin Weng (2016): Facilitating the Transformational: An Exploration of Control in Cyberinfrastructure Projects and the Discovery of Field Control, In: Information Systems Research 2(27), doi:10.1287/isre.2016.0619
  • Markus Konkol, Christian Kray (2018): In-depth examination of spatiotemporal figures in open reproducible research, In: Cartography and Geographic Information Science 5(46), doi:10.1080/15230406.2018.1512421
  • Ixchel M. Faniel, Rebecca D. Frank, Elizabeth Yakel (2019): Context from the data reuser’s point of view, In: Journal of Documentation 6(75), doi:10.1108/jd-08-2018-0133
  • Alex H. Poole (2014): How has your science data grown? Digital curation and the human factor: a critical literature review, In: Archival Science 2(15), doi:10.1007/s10502-014-9236-y
  • Ayoung Yoon (2016): Red flags in data: Learning from failed data reuse experiences, In: Proceedings of the Association for Information Science and Technology 1(53), doi:10.1002/pra2.2016.14505301126
  • Youngseek Kim (2021): A sequential route of data and document qualities, satisfaction and motivations on researchers' data reuse intentions, In: Journal of Documentation 3(78), doi:10.1108/jd-02-2021-0044
  • Rebecca D. Frank, Zui Chen, Erica Crawford, Kara Suzuka, Elizabeth Yakel (2017): Trust in qualitative data repositories, In: Proceedings of the Association for Information Science and Technology 1(54), doi:10.1002/pra2.2017.14505401012
  • Tiffany C. Chao, Melissa H. Cragin, Carole L. Palmer (2014): <scp>D</scp>ata <scp>P</scp>ractices and <scp>C</scp>uration <scp>V</scp>ocabulary (<scp>DPCV</scp>ocab): An empirically derived framework of scientific data practices and curatorial processes, In: Journal of the Association for Information Science and Technology 3(66), doi:10.1002/asi.23184
  • 김지현 (2012): A Study on University Researchers’ Data Management Practices, In: Journal of Korean Library and Information Science Society 3(43), doi:10.16981/kliss.43.3.201209.433
  • Elizabeth Yakel, Ixchel M. Faniel, Lionel P. Robert (2024): An empirical examination of data reuser trust in a digital repository, In: Journal of the Association for Information Science and Technology 8(75), doi:10.1002/asi.24933
  • John Byabazaire, Gregory O’Hare, Declan Delaney (2020): Data Quality and Trust: Review of Challenges and Opportunities for Data Sharing in IoT, In: Electronics 12(9), doi:10.3390/electronics9122083
  • Ayoung Yoon (2017): Role of communication in data reuse, In: Proceedings of the Association for Information Science and Technology 1(54), doi:10.1002/pra2.2017.14505401050
  • Charlotte Borgerud, Erik Borglund (2020): Open research data, an archival challenge?, In: Archival Science 3(20), doi:10.1007/s10502-020-09330-3
  • Anissa Tanweer, Brittany Fiore-Gartland, Cecilia Aragon (2016): Impediment to insight to innovation: understanding data assemblages through the breakdown–repair process, In: Information, Communication &amp; Society 6(19), doi:10.1080/1369118x.2016.1153125
  • Steven J. Jackson, Stephanie B. Steinhardt, Ayse Buyuktur (2013): Why CSCW needs science policy (and vice versa), In: Proceedings of the 2013 conference on Computer supported cooperative work, doi:10.1145/2441776.2441902
  • Gaia Mosconi, Qinyu Li, Dave Randall, Helena Karasti, Peter Tolmie, Jana Barutzky, Matthias Korn, Volkmar Pipek (2019): Three Gaps in Opening Science, In: Computer Supported Cooperative Work (CSCW) 3-4(28), doi:10.1007/s10606-019-09354-z
  • Ayoung Yoon, Youngseek Kim (2017): Social scientists' data reuse behaviors: Exploring the roles of attitudinal beliefs, attitudes, norms, and data repositories, In: Library &amp; Information Science Research 3(39), doi:10.1016/j.lisr.2017.07.008
  • Karen M. Fallas, Robert B. MacNaughton, Matthew J. Sommers (2015): Maximizing the value of historical bedrock field observations: An example from northwest Canada, In: GeoResJ, doi:10.1016/j.grj.2015.01.004
  • Christine L. Borgman, Peter T. Darch, Ashley E. Sands, Irene V. Pasquetto, Milena S. Golshan, Jillian C. Wallis, Sharon Traweek (2015): Knowledge infrastructures in science: data, diversity, and digital libraries, In: International Journal on Digital Libraries 3-4(16), doi:10.1007/s00799-015-0157-z
  • Nicholas M. Weber, Karen S. Baker, Andrea K. Thomer, Tiffany C. Chao, Carole L. Palmer (2012): Value and context in data use: Domain analysis revisited, In: Proceedings of the American Society for Information Science and Technology 1(49), doi:10.1002/meet.14504901168
  • Andrea Wiggins, Alyson Young, Melissa A. Kenney (2018): Exploring visual representations to support data re‐use for interdisciplinary science, In: Proceedings of the Association for Information Science and Technology 1(55), doi:10.1002/pra2.2018.14505501060
  • Ixchel M. Faniel, Anne Austin, Eric Kansa, Sarah Whitcher Kansa, Phoebe France, Jennifer Jacobs, Ran Boytner, Elizabeth Yakel (2018): Beyond the Archive, In: Advances in Archaeological Practice 2(6), doi:10.1017/aap.2018.2
  • Lin He, Vinita Nahar (2016): Reuse of scientific data in academic publications, In: Aslib Journal of Information Management 4(68), doi:10.1108/ajim-01-2016-0008
  • Ayoung Yoon, Wei Jeng, Renata Curty, Angela Murillo (2017): In between data sharing and reuse: Shareability, availability and reusability in diverse contexts, In: Proceedings of the Association for Information Science and Technology 1(54), doi:10.1002/pra2.2017.14505401085
  • Ameneh Soleimani, Fatimah Fahim Nia, Nader Naghshineh, Adel Soleimani Nejad (2021): Providing a framework for the reuse of research data based on the development dynamic framework of United Nations Development Program (UNDP), In: Library Hi Tech 2(41), doi:10.1108/lht-01-2021-0007
  • Georgia Panagiotidou, Jeroen Poblome, Jan Aerts, Andrew Vande Moere (2022): Designing a Data Visualisation for Interdisciplinary Scientists. How to Transparently Convey Data Frictions?, In: Computer Supported Cooperative Work (CSCW) 4(31), doi:10.1007/s10606-022-09432-9
  • Christine L. Borgman, Jillian C. Wallis, Matthew S. Mayernik (2012): Who’s Got the Data? Interdependencies in Science and Technology Collaborations, In: Computer Supported Cooperative Work (CSCW) 6(21), doi:10.1007/s10606-012-9169-z
  • Marina Jirotka, Charlotte P. Lee, Gary M. Olson (2013): Supporting Scientific Collaboration: Methods, Tools and Concepts, In: Computer Supported Cooperative Work (CSCW) 4-6(22), doi:10.1007/s10606-012-9184-0
  • Mark R. Costa, Jian Qin, Jun Wang (2014): Research networks in data repositories, In: IEEE/ACM Joint Conference on Digital Libraries, doi:10.1109/jcdl.2014.6970197
Please note: Providing information about citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net. These lists may be incomplete due to unavailable citation data.source: opencitations.net, crossref.org