The Faculty of Health Sciences boasts a number of rural sites where important research and teaching are undertaken. Up to now, these sites have had to make do with the levels of connectivity in the region.
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.
In 2016, South Africa saw its highest number of road deaths in 10 years. Just over 14 000 people died on South Africa’s roads that year. To address this crisis, researchers and policymakers need to understand the behaviour of road users. Interdisciplinary research to understand the behaviour of drivers is in the pipeline at UCT, thanks to a connection made by UCT eResearch between researchers from two different campuses, and two entirely different fields of research.
As part of the Human Heredity and Health in Africa (H3Africa) project, researchers at UCT are investigating the microbial communities that live in the nasal passageways and throats of children to better understand the development of pneumonia and wheezing illness. Gerrit Botha and Dr Katie Lennard – bioinformaticians based at the Computational Biology Division (CBIO) and members of the Pan African Bioinformatics Network for H3Africa – have developed a streamlined process for analysing microbiome samples on the university’s high-performance computing system.