In recent years, the promotion of data sharing has come with the recognition that not all scientists around the world are equally placed to partake in such activities. Notably, those within developing countries are sometimes regarded as experiencing hardware infrastructure challenges and data management skill shortages. Proposed remedies often focus on the provision of information and communication technology as well as enhanced data management training. Building on prior empirical social research undertaken in sub-Sahara Africa, this article provides a complementary but alternative proposal; namely, fostering data openness by enabling research. Towards this end, the underlying rationale is outlined for a 'bottom-up' system of research support that addresses the day-to-day demands in low-resourced environments. This approach draws on lessons from development financial assistance programs in recent decades. In doing so, this article provides an initial framework for science funding that call for holding together concerns for ensuring research can be undertaken in low-resourced laboratory environments with concerns about the data generated in such settings can be shared.Keywords: Open Data; micro-funding; cash transfers; micro-credit; AfricaThe 2015 publication Open Data in a Big World: An International Accord produced by the International Council for Science (ICSU), the InterAcademy Partnership (IAP), the World Academy of Sciences (TWAS) and the International Social Science Council (ISSC) offers a recent high level statement on the potential of making research data widely available. Against claims of a revolution in memory storage capacity and connectivity, the report sets out to identify the benefits of promoting data openness; this including facilitating the correction of results, enabling the replication of findings, detecting fraud, promoting international collaborations, and supporting evidence-based decision making.And yet, Open Data in a Big World recognized that achieving openness was not straightforward. Merely making data accessible by putting it online, for instance, would not be sufficient. Other requirements included the need for data to be: readily discoverable; complemented with background information necessary to make it intelligible; combined with sufficient computational metadata; and supplemented with enough information to reveal the competences and financial interests of data producers. Further still, ethical, safety, security and other concerns were recognized in Open Data in a Big World as limiting what data should be shared. Despite the demands of and cautions with open data, when the revolutionizing benefits were considered against potential downsides, the conclusion reached by ICSU, IAP, TWAS and ISSC was clear: openness should be the default position for publicly funded research.And yet, echoing conclusions reached elsewhere, Open Data in a Big World noted that researchers in least developed countries would struggle to partake in collecting, analysing, reusing, and sharing data (see as w...