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South African Journal of Science
On-line version ISSN 1996-7489
Print version ISSN 0038-2353
Abstract
NAIR, Gonasagrie et al. Revisiting community engagement methods in the context of data science research and big data use in South Africa. S. Afr. j. sci. [online]. 2023, vol.119, n.5-6, pp.1-3. ISSN 1996-7489. http://dx.doi.org/10.17159/sajs.2023/14723.
SIGNIFICANCE: Effective community engagement for the use of large data sets in health research is faced with challenges similar to those in investigator-driven research. The scope of community engagement has evolved in high-income countries to embrace citizen science by communities and regulators to build trust in data science research. In South Africa and other low- and middle-income countries, with varying levels of literacy and the influence of pre-existing beliefs and past negative experiences with research, advisory committees of diverse stakeholder composition still have a role to play in protecting the rights of researched communities.
Keywords : data science; big data; community engagement; data ownership; citizen science.
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