The theoretical foundations of databases and research into data management systems, distributed information management and query languages.
This strategy recognises that this is a relatively small but high-quality research area in the UK.
We aim to have database researchers contributing to the ongoing challenges posed by data science. This should include new ways of developing scalable data management systems that can manage high volumes of complex data in infrastructures on which data analytics can then be performed.
Our portfolio of database research and research training should complement related activity in the Alan Turing Institute, and help achieve the aims set out in EPSRC’s Data enabled decision making priority for the Information and communication technologies (ICT) theme. This will require the strengthening of existing links with other researchers in the data science landscape, including research areas such as Artificial intelligence technologies and Information systems.
Increased translation of theoretical work into practice and improved links with users of database technology is another goal. There are opportunities for researchers to take advantage of datasets acquired by other sectors (such as medicine, retail and automotive). Consideration of users of database technology should occur from the outset and be in line with the ethos of EPSRC’s People at the heart cross-ICT priority.