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

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

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

2021
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Overview
Background 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. Purpose Therefore, our aim is to describe the barriers and concerns for the sharing of cohort data, and the implications for data sharing platforms. Methods 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. Results 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. Conclusions 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.