Nature Communications (Sep 2023)

The promise of data science for health research in Africa

  • Clement A. Adebamowo,
  • Shawneequa Callier,
  • Simisola Akintola,
  • Oluchi Maduka,
  • Ayodele Jegede,
  • Christopher Arima,
  • Temidayo Ogundiran,
  • Sally N. Adebamowo,
  • BridgELSI Project as part of the DS-I Africa Consortium

DOI
https://doi.org/10.1038/s41467-023-41809-2
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 8

Abstract

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Abstract Data science health research promises tremendous benefits for African populations, but its implementation is fraught with substantial ethical governance risks that could thwart the delivery of these anticipated benefits. We discuss emerging efforts to build ethical governance frameworks for data science health research in Africa and the opportunities to advance these through investments by African governments and institutions, international funding organizations and collaborations for research and capacity development.