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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

Thijs Devriendt, Pascal Borry, Mahsa Shabani

2021PLoS ONE36 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Data sharingTransparency (behavior)Reciprocity (cultural anthropology)Qualitative propertyCohortSurvey data collectionBusinessInternet privacyComputer scienceKnowledge managementMedicinePsychologyComputer securitySocial psychologyAlternative medicineMathematicsMachine learningInternal medicinePathologyStatisticsResearch Data Management PracticesEthics in Clinical ResearchData Quality and Management
Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers | Litcius