UCT, in March 2018, implemented its research data management (RDM) policy to support effective data sharing and to address the need for data to be findable, accessible, interoperable and reusable (FAIR) to specific quality standards.
As a partner in the African Research Cloud and the Inter-University Institute for Data-Intensive Astronomy, UCT is home to some powerful computing facilities. These facilities, which allow researchers to work with enormous sets of data, are helping us to prepare for the era of big-data science.
When Associate Professor Adam West from the Department of Biological Sciences began using drones to collect data from his fynbos study plots, he was confronted by a big-data problem. The customised drones were efficient and collected data easily, but they collected a lot of it – more than could be processed timeously by his laboratory’s computers. West reached out to the team at UCT eResearch for support.
Demand for skills at the interface between technology and information is growing and demand already far exceeds supply. This is particularly the case in Africa. To respond to demand, UCT launched two new postgraduate programmes to foster a generation equipped with the skills to meet this need.