
Reward systems for cohort data sharing : an interview study with funding agencies
- Author
- Thijs Devriendt, Mahsa Shabani (UGent) and Pascal Borry
- Organization
- Abstract
- Data infrastructures are being constructed to facilitate cohort data sharing. These infrastructures are anticipated to increase the rate of data sharing. However, the lack of data sharing has also been framed as being the consequence of the lack of reputational or financial incentives for sharing. Some initiatives try to confer value onto data sharing by making researchers’ individual contributions to research visible (i.e., contributorship) or by quantifying the degree to which research data has been shared (e.g., data indicators). So far, the role of downstream evaluation and funding distribution systems for reputational incentives remains underexplored. This interview study documents the perspectives of members of funding agencies on, amongst other elements, incentives for data sharing. Funding agencies are adopting narrative CVs to encourage evaluation of diverse research outputs and display diversity in researchers’ profiles. This was argued to diminish the focus on quantitative indicators of scientific productivity. Indicators related to open science dimensions may be reintroduced if they are fully developed. Shifts towards contributorship models for research outputs are seen as complementary to narrative review.
- Keywords
- Multidisciplinary
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GWM324MV4VHGXGDY55QBJHHY
- MLA
- Devriendt, Thijs, et al. “Reward Systems for Cohort Data Sharing : An Interview Study with Funding Agencies.” PLOS ONE, edited by Elizabeth McGill, vol. 18, no. 3, Public Library of Science (PLoS), 2023, doi:10.1371/journal.pone.0282969.
- APA
- Devriendt, T., Shabani, M., & Borry, P. (2023). Reward systems for cohort data sharing : an interview study with funding agencies. PLOS ONE, 18(3). https://doi.org/10.1371/journal.pone.0282969
- Chicago author-date
- Devriendt, Thijs, Mahsa Shabani, and Pascal Borry. 2023. “Reward Systems for Cohort Data Sharing : An Interview Study with Funding Agencies.” Edited by Elizabeth McGill. PLOS ONE 18 (3). https://doi.org/10.1371/journal.pone.0282969.
- Chicago author-date (all authors)
- Devriendt, Thijs, Mahsa Shabani, and Pascal Borry. 2023. “Reward Systems for Cohort Data Sharing : An Interview Study with Funding Agencies.” Ed by. Elizabeth McGill. PLOS ONE 18 (3). doi:10.1371/journal.pone.0282969.
- Vancouver
- 1.Devriendt T, Shabani M, Borry P. Reward systems for cohort data sharing : an interview study with funding agencies. McGill E, editor. PLOS ONE. 2023;18(3).
- IEEE
- [1]T. Devriendt, M. Shabani, and P. Borry, “Reward systems for cohort data sharing : an interview study with funding agencies,” PLOS ONE, vol. 18, no. 3, 2023.
@article{01GWM324MV4VHGXGDY55QBJHHY, abstract = {{Data infrastructures are being constructed to facilitate cohort data sharing. These infrastructures are anticipated to increase the rate of data sharing. However, the lack of data sharing has also been framed as being the consequence of the lack of reputational or financial incentives for sharing. Some initiatives try to confer value onto data sharing by making researchers’ individual contributions to research visible (i.e., contributorship) or by quantifying the degree to which research data has been shared (e.g., data indicators). So far, the role of downstream evaluation and funding distribution systems for reputational incentives remains underexplored. This interview study documents the perspectives of members of funding agencies on, amongst other elements, incentives for data sharing. Funding agencies are adopting narrative CVs to encourage evaluation of diverse research outputs and display diversity in researchers’ profiles. This was argued to diminish the focus on quantitative indicators of scientific productivity. Indicators related to open science dimensions may be reintroduced if they are fully developed. Shifts towards contributorship models for research outputs are seen as complementary to narrative review.}}, articleno = {{e0282969}}, author = {{Devriendt, Thijs and Shabani, Mahsa and Borry, Pascal}}, editor = {{McGill, Elizabeth}}, issn = {{1932-6203}}, journal = {{PLOS ONE}}, keywords = {{Multidisciplinary}}, language = {{eng}}, number = {{3}}, pages = {{14}}, publisher = {{Public Library of Science (PLoS)}}, title = {{Reward systems for cohort data sharing : an interview study with funding agencies}}, url = {{http://doi.org/10.1371/journal.pone.0282969}}, volume = {{18}}, year = {{2023}}, }
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