Reward systems for cohort data sharing: An interview study with funding agencies.

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. S...

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Main Authors: Thijs Devriendt, Mahsa Shabani, Pascal Borry
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0282969
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author Thijs Devriendt
Mahsa Shabani
Pascal Borry
author_facet Thijs Devriendt
Mahsa Shabani
Pascal Borry
author_sort Thijs Devriendt
collection DOAJ
description 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.
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spelling doaj.art-242b539cd087422b824a3f93afc74b9c2023-04-21T05:32:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01183e028296910.1371/journal.pone.0282969Reward systems for cohort data sharing: An interview study with funding agencies.Thijs DevriendtMahsa ShabaniPascal BorryData 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.https://doi.org/10.1371/journal.pone.0282969
spellingShingle Thijs Devriendt
Mahsa Shabani
Pascal Borry
Reward systems for cohort data sharing: An interview study with funding agencies.
PLoS ONE
title Reward systems for cohort data sharing: An interview study with funding agencies.
title_full Reward systems for cohort data sharing: An interview study with funding agencies.
title_fullStr Reward systems for cohort data sharing: An interview study with funding agencies.
title_full_unstemmed Reward systems for cohort data sharing: An interview study with funding agencies.
title_short Reward systems for cohort data sharing: An interview study with funding agencies.
title_sort reward systems for cohort data sharing an interview study with funding agencies
url https://doi.org/10.1371/journal.pone.0282969
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