Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study

BackgroundThe European Commission is funding projects that aim to establish data-sharing platforms. These platforms are envisioned to enhance and facilitate the international sharing of cohort data. Nevertheless, broad data sharing may be restricted by the lack of adequate re...

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Main Authors: Thijs Devriendt, Pascal Borry, Mahsa Shabani
Format: Article
Language:English
Published: JMIR Publications 2022-01-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2022/1/e25983
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author Thijs Devriendt
Pascal Borry
Mahsa Shabani
author_facet Thijs Devriendt
Pascal Borry
Mahsa Shabani
author_sort Thijs Devriendt
collection DOAJ
description BackgroundThe European Commission is funding projects that aim to establish data-sharing platforms. These platforms are envisioned to enhance and facilitate the international sharing of cohort data. Nevertheless, broad data sharing may be restricted by the lack of adequate recognition for those who share data. ObjectiveThe aim of this study is to describe in depth the concerns about acquiring credit for data sharing within epidemiological research. MethodsA total of 17 participants linked to European Union–funded data-sharing platforms were recruited for a semistructured interview. Transcripts were analyzed using inductive content analysis. ResultsInterviewees argued that data sharing within international projects could challenge authorship guidelines in multiple ways. Some respondents considered that the acquisition of credit for articles with extensive author lists could be problematic in some instances, such as for junior researchers. In addition, universities may be critical of researchers who share data more often than leading research. Some considered that the evaluation system undervalues data generators and specialists. Respondents generally looked favorably upon alternatives to the current evaluation system to potentially ameliorate these issues. ConclusionsThe evaluation system might impede data sharing because it mainly focuses on first and last authorship and undervalues the contributor’s work. Further movement of crediting models toward contributorship could potentially address this issue. Appropriate crediting mechanisms that are better aligned with the way science ought to be conducted in the future need to be developed.
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spelling doaj.art-a9106230deeb408f81fb9dd3d5f350af2023-08-28T20:21:34ZengJMIR PublicationsJournal of Medical Internet Research1438-88712022-01-01241e2598310.2196/25983Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview StudyThijs Devriendthttps://orcid.org/0000-0002-3540-1096Pascal Borryhttps://orcid.org/0000-0002-4931-9560Mahsa Shabanihttps://orcid.org/0000-0001-7128-0474 BackgroundThe European Commission is funding projects that aim to establish data-sharing platforms. These platforms are envisioned to enhance and facilitate the international sharing of cohort data. Nevertheless, broad data sharing may be restricted by the lack of adequate recognition for those who share data. ObjectiveThe aim of this study is to describe in depth the concerns about acquiring credit for data sharing within epidemiological research. MethodsA total of 17 participants linked to European Union–funded data-sharing platforms were recruited for a semistructured interview. Transcripts were analyzed using inductive content analysis. ResultsInterviewees argued that data sharing within international projects could challenge authorship guidelines in multiple ways. Some respondents considered that the acquisition of credit for articles with extensive author lists could be problematic in some instances, such as for junior researchers. In addition, universities may be critical of researchers who share data more often than leading research. Some considered that the evaluation system undervalues data generators and specialists. Respondents generally looked favorably upon alternatives to the current evaluation system to potentially ameliorate these issues. ConclusionsThe evaluation system might impede data sharing because it mainly focuses on first and last authorship and undervalues the contributor’s work. Further movement of crediting models toward contributorship could potentially address this issue. Appropriate crediting mechanisms that are better aligned with the way science ought to be conducted in the future need to be developed.https://www.jmir.org/2022/1/e25983
spellingShingle Thijs Devriendt
Pascal Borry
Mahsa Shabani
Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study
Journal of Medical Internet Research
title Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study
title_full Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study
title_fullStr Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study
title_full_unstemmed Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study
title_short Credit and Recognition for Contributions to Data-Sharing Platforms Among Cohort Holders and Platform Developers in Europe: Interview Study
title_sort credit and recognition for contributions to data sharing platforms among cohort holders and platform developers in europe interview study
url https://www.jmir.org/2022/1/e25983
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AT mahsashabani creditandrecognitionforcontributionstodatasharingplatformsamongcohortholdersandplatformdevelopersineuropeinterviewstudy