Genomics and Health Data Governance in Africa: Democratize the Use of Big Data and Popularize Public Engagement
Effectively addressing ethical issues in precision medicine research in Africa requires a holistic social contract that integrates biomedical knowledge with local cultural values and Indigenous knowledge systems. Drawing on African epistemologies such as ubuntu and ujamaa and on our collective exper...
| Κύριοι συγγραφείς: | ; ; ; ; ; ; ; |
|---|---|
| Τύπος μέσου: | Ηλεκτρονική πηγή Άρθρο |
| Γλώσσα: | Αγγλικά |
| Έλεγχος διαθεσιμότητας: | HBZ Gateway |
| Interlibrary Loan: | Interlibrary Loan for the Fachinformationsdienste (Specialized Information Services in Germany) |
| Έκδοση: |
2024
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| Στο/Στη: |
The Hastings Center report
Έτος: 2024, Τόμος: 54, Σελίδες: S84-S92 |
| Άλλες λέξεις-κλειδιά: | B
PUBGEM-Africa
B Justice B Public engagement B health data B Genomics B Africa B Bioethics |
| Διαθέσιμο Online: |
Volltext (kostenfrei) Volltext (kostenfrei) |
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| 520 | |a Effectively addressing ethical issues in precision medicine research in Africa requires a holistic social contract that integrates biomedical knowledge with local cultural values and Indigenous knowledge systems. Drawing on African epistemologies such as ubuntu and ujamaa and on our collective experiences in genomics and big data research for sickle cell disease, hearing impairment, and fragile X syndrome and the project Public Understanding of Big Data in Genomics Medicine in Africa, we envision a transformative shift in health research data governance in Africa that could help create a sense of shared responsibility between all stakeholders in genomics and data-driven health research in Africa. This shift includes proposing a social contract for genomics and data science in health research that is grounded in African communitarianism such as solidarity, shared decision-making, and reciprocity. We make several recommendations for a social contract for genomics and data science in health, including the coproduction of genomics knowledge with study communities, power sharing between stakeholders, public education on the ethical and social implications of genetics and data science, benefit sharing, giving voice to data subjects through dynamic consent, and democratizing data access to allow wide access by all research stakeholders. Achieving this would require adopting participatory approaches to genomics and data governance. | ||
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