Unmasking the ethical dimensions of data-sharing in health research: perspectives from researchers at a public university in Uganda
摘要
In resource-limited settings like Uganda, ethical sharing of health research data is crucial for advancing scientific knowledge. Despite the growing trend of data-sharing in the digital age, its adoption in low-resource contexts is often hampered by complex ethical considerations. This study explored researchers’ perspectives and ethical concerns regarding data-sharing at a public university.
MethodsA qualitative phenomenographic approach was employed involving 26 participants at Makerere University College of Health Sciences, including professors, lecturers, research fellows, and PhD students. Data was collected through in-depth interviews conducted via Zoom or in person, using an interview guide. Data were analyzed thematically using ATLAS.ti (V9), using both deductive and inductive approaches.
ResultsThe study revealed a complex landscape of data-sharing practices among researchers. Participants exhibited varying understandings of data sharing, with some demonstrating limited awareness. Incentives such as financial rewards and co-authorship were widely viewed as crucial for encouraging data sharing. While acknowledging data sources in publications was appreciated, some researchers emphasized the need for co-authorship in cases of significant contributions. Researchers’ autonomy and control over data-sharing practices were influenced by factors such as research concept origination, funding sources, financial status, and analytical skills. Institutional policies, cultural norms, and customs that promote a ‘siloed’ research environment also significantly influenced of data-sharing behavior.
ConclusionThis study revealed a complex landscape of data-sharing practices among researchers. The varying interpretations of data sharing highlight the need for enhanced education and awareness regarding its importance. The identified incentives, such as financial rewards and co-authorship, which encourage data sharing, suggest a need to establish a fair data-sharing reward system. Additionally, policies that facilitate researchers’ autonomy and data control, while fostering trust, are crucial to address the siloed research culture.