Please note, this course is not provided or endorsed by the UKTMN, but has been deemed relevant to trial management, and may be of interest to our members.
Advances in data science including a commitment to reproducible science through open standards, data and source code have resulted in different ways of working within research. Trusted Research Environments are in many cases now the default pathway to accessing data, representing a step change in how data is accessed for research and introducing new challenges. The tutors on this course have been at the forefront of these developing approaches, both through applied research and the development of infrastructure. The University of Bristol (with the University of Edinburgh) run the UK Longitudinal Linkage Collaboration (UK LLC), a trusted research environment bringing together information from the longitudinal study volunteers with their routine records.
We aim to equip researchers with the confidence to work within TREs through awareness of the benefits, challenges and differences that exist across TREs. This course will not provide detail of analytic techniques but will instead provide awareness and understanding of the steps that need to be taken before analysis can be undertaken and once analysis is complete. These include applying to the TRE for access to data, deriving codeslists, creating cohorts, quality assurance, through to the close of the research project including requesting safe outputs for publication, and producing appropriate documentation for uploading to packages such as GITHub.
