15 Fellows are joining the fellowship of the ELIXIR-UK DaSH project to seed local data steward communities across the UK. Fellows will work with ELIXIR-UK to produce and deliver training in Research Data Management (RDM) within their host Universities and Institutes.
The new ELIXIR-UK DaSH cohort has diverse responsibilities in their roles from early to senior career stages, including facility operators, researchers and core support bioinformaticians. In addition, they cover a broad spectrum of areas of expertise, including ecology, biomedicine, epidemiology and molecular biology.
During the Fellowship, they will create bites of content in the form of videos called RDMbites. These videos focus on relaying basic concepts or signposting larger pieces of work for a UK research audience. They will also develop training courses for online and face-to-face delivery at their local organisations with the help of ELIXIR-UK trainers and experts.
Together with the first cohort of Fellows selected in 2021, the fellowship covers 19 public organisations across the UK, including research institutes, universities and government agencies. As ambassadors, Fellows use their influence across all these institutions to embed RDM best practices through training activities.
They will kick start their activities with the ELIXIR Train the Trainer course, offering them the ground knowledge or refreshing pedagogic principles to begin building materials and content within the Fellowship.
All training materials developed within the project will follow the FAIR (Findable, Accessible, Interoperable and Reusable) principles. The Fellows will provide content open to the scientific community, from videos to training courses. While the project leverages the influence of the Fellows at their local institutions, the outputs are shared nationally and internationally for the benefit of the broader research community.
To know more about the Fellowship, its outputs and the 2021-2022 cohort, visit the Fellowship page.
The ELIXIR-UK DaSH project behind the Fellowship was funded as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)