Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.

<h4>Background</h4>Infrastructures are being developed to enhance and facilitate the sharing of cohort data internationally. However, empirical studies show that many barriers impede sharing data broadly.<h4>Purpose</h4>Therefore, our aim is to describe the barriers and conce...

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Main Authors: Thijs Devriendt, Pascal Borry, Mahsa Shabani
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0254202
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spelling doaj-bf27bea8a2764add93e4f259fed831a62021-07-16T04:31:02ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01167e025420210.1371/journal.pone.0254202Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.Thijs DevriendtPascal BorryMahsa Shabani<h4>Background</h4>Infrastructures are being developed to enhance and facilitate the sharing of cohort data internationally. However, empirical studies show that many barriers impede sharing data broadly.<h4>Purpose</h4>Therefore, our aim is to describe the barriers and concerns for the sharing of cohort data, and the implications for data sharing platforms.<h4>Methods</h4>Seventeen participants involved in developing data sharing platforms or tied to cohorts that are to be submitted to platforms were recruited for semi-structured interviews to share views and experiences regarding data sharing.<h4>Results</h4>Credit and recognition, the potential misuse of data, loss of control, lack of resources, socio-cultural factors and ethical and legal barriers are elements that influence decisions on data sharing. Core values underlying these reasons are equality, reciprocity, trust, transparency, gratification and beneficence.<h4>Conclusions</h4>Data generators might use data sharing platforms primarily for collaborative modes of working and network building. Data generators might be unwilling to contribute and share for non-collaborative work, or if no financial resources are provided for sharing data.https://doi.org/10.1371/journal.pone.0254202
collection DOAJ
language English
format Article
sources DOAJ
author Thijs Devriendt
Pascal Borry
Mahsa Shabani
spellingShingle Thijs Devriendt
Pascal Borry
Mahsa Shabani
Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.
PLoS ONE
author_facet Thijs Devriendt
Pascal Borry
Mahsa Shabani
author_sort Thijs Devriendt
title Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.
title_short Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.
title_full Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.
title_fullStr Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.
title_full_unstemmed Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers.
title_sort factors that influence data sharing through data sharing platforms: a qualitative study on the views and experiences of cohort holders and platform developers.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description <h4>Background</h4>Infrastructures are being developed to enhance and facilitate the sharing of cohort data internationally. However, empirical studies show that many barriers impede sharing data broadly.<h4>Purpose</h4>Therefore, our aim is to describe the barriers and concerns for the sharing of cohort data, and the implications for data sharing platforms.<h4>Methods</h4>Seventeen participants involved in developing data sharing platforms or tied to cohorts that are to be submitted to platforms were recruited for semi-structured interviews to share views and experiences regarding data sharing.<h4>Results</h4>Credit and recognition, the potential misuse of data, loss of control, lack of resources, socio-cultural factors and ethical and legal barriers are elements that influence decisions on data sharing. Core values underlying these reasons are equality, reciprocity, trust, transparency, gratification and beneficence.<h4>Conclusions</h4>Data generators might use data sharing platforms primarily for collaborative modes of working and network building. Data generators might be unwilling to contribute and share for non-collaborative work, or if no financial resources are provided for sharing data.
url https://doi.org/10.1371/journal.pone.0254202
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