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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Nov 24, 2020
Date Accepted: Nov 19, 2021

The final, peer-reviewed published version of this preprint can be found here:

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

Devriendt T, Shabani M, Borry P

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

J Med Internet Res 2022;24(1):e25983

DOI: 10.2196/25983

PMID: 35023849

PMCID: 8796038

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

  • Thijs Devriendt; 
  • Mahsa Shabani; 
  • Pascal Borry

ABSTRACT

Background:

The European Commission is funding projects that aim to establish data sharing platforms. These platforms are envisioned to enhance and facilitate the sharing of cohort data internationally. Nevertheless, broad data sharing may be restricted by the lack of adequate recognition for those who share data.

Objective:

The aim of this study was to describe in-depth the concerns around acquiring credit for data sharing within epidemiological research.

Methods:

A total of seventeen participants linked to data sharing platforms were recruited for a semi-structured interview. Transcripts were analyzed through inductive content analysis.

Results:

Interviewees recognized that data sharing within international projects can challenge authorship guidelines in multiple ways. Some respondents considered that the acquisition of credit for articles with extensive author lists can be problematic in some instances, such as for junior researchers. Additionally, universities may be critical of researchers that share data too often in proportion to them 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.

Conclusions:

The evaluation system might impede data sharing due to mainly focusing on first and last authorship, and undervaluing contributor work. Further movement of crediting models towards contributorship could potentially address this issue. Appropriate crediting mechanisms need to be developed that are aligned with way science ought to be conducted in the future.


 Citation

Please cite as:

Devriendt T, Shabani M, Borry P

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

J Med Internet Res 2022;24(1):e25983

DOI: 10.2196/25983

PMID: 35023849

PMCID: 8796038

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