While the global landscape has rapidly shifted over the past several years, it’s no secret that countries from the Global South continue to be under-represented in research, often marginalized, and in some cases, even exploited. Fortunately, the power dynamics are beginning to change. In recent years, South-South collaboration has been particularly active in the data space, with more open source tools and new data sources, including citizen science, being generated at the local-level to inform decision-making. To help bolster this shift, TReNDS’ sub-group on North-South Exchange is working to crowd in more voices from the Global South as well as encouraging more documentation, discussion, and diffusion of lessons learned to catalyze South-South and triangular data collaborations. Recent conversations and members’ research have underscored the significance of involving local stakeholders in projects from the onset, customizing needs based on the local context, and developing local communities of practice to ensure long-term sustainability.
Read MoreEven while the COVID-19 pandemic has heightened awareness of data and statistics, it has highlighted the global divide in statistical capacity, and in many cases, exacerbated it. Across Africa, for example, incomplete death registration systems have hampered efforts to track the virus. And according to recent surveys of national statistical offices (NSOs), nine out of ten NSOs in low and lower-middle-income countries may not fully be able to meet their international reporting requirements. To address these issues, countries are now being presented with an array of private sector data solutions and other non-traditional sources of information to fill these data gaps. Yet as global institutions seek to empower with data, we must be wary of “data colonialism” -- the potential for the powerful, data-rich countries and corporations in the Global North to undercut capacity development in the Global South by failing to recognize the local contexts.
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