Community Events

April 8, 2026
Workshop about UK dRTP skills and competencies community collaboration @ SSI Collaborations Workshop
The Software Sustainability Institute's annual Collaborations Workshop (CW) is an immersive, three-day unconference, which emphasises active collaborations, dynamic discussions, and hands-on problem-solving. The highly anticipated Collaborations Workshop 2026 (CW26) will take place as a hybrid event from Tuesday 28 April to Thursday 30 April at ICC Belfast. The event is set to feature an impressive lineup of speakers and an interactive programme of sessions. The theme is Strengthening The Research Software Community. The programme includes a one-hour mini-workshop titled How should the DIRECT Framework adapt to serve diverse dRTP communities?
March 25, 2026
Developing Career Options for Data Stewards (Online)
Join us for one of two participatory research events exploring the future of data stewardship. In collaboration with the Research Data Alliance’s Data Steward Careers Track Working Group, the University of Sheffield Library and CaSDaR are bringing together people from across the sector to co-create Data Steward personas. Bursaries are available for in-person attendance, and this event is offered as a hybrid sessions. This event is one of two events run in collaboration with UCL's Office for Open Science and Scholarship and STEP-UP.
March 10, 2026
ADAPT ExoHack Edition III (a DisCouRSE funded project)
As part of the DisCouRSE funded project ADAPT, we are inviting a few digital Research Technical Professionals (RSEs, data scientists, research computing staff, research software engineers, and similar roles) interested in learning new skills mapped to the DIRECT framework, and contributing to the development of a hackathon-centric training platform.
March 9, 2026
N8 CIR Event – Learn how publishing in data journals can increase awareness of your research
Data journals are a format of publication that publish datasets or ‘data papers’ rather than conventional research articles. They offer a route to increase the visibility of research data outputs whilst also rewarding creators with a peer-reviewed publication, credit, and increased opportunity for citation (Walters, 2020). This event will feature presentations from researchers from a range of disciplines, in both STEM and the humanities, involved in editing data journals, who will share their experiences and advice with attendees. The event will introduce the concept of data journals and how they operate and explore best practices when submitting papers to these journals or developing data journal publications. There will be opportunities for questions and discussions throughout the event.
March 5, 2026
Developing Career Options for Data Stewards (In Person & Online) #LondonEdition
Join us for one of two participatory research events exploring the future of data stewardship. In collaboration with the Research Data Alliance’s Data Steward Careers Track Working Group, the University of Sheffield Library and CaSDaR are bringing together people from across the sector to co-create Data Steward personas. Bursaries are available for in-person attendance, and this event is offered as a hybrid sessions. This event is one of two events run in collaboration with UCL's Office for Open Science and Scholarship and STEP-UP.
March 5, 2026
DCC’s Digital Research Infrastructure webinar series: Getting to know BioFAIR
Join us to learn about BioFAIR, the BioCommons digital research infrastructure for the UK life sciences community, from our guest speakers Tony Burdett and Nishadi De Silva. BioFAIR is a UKRI funded federated digital research infrastructure and provides end-to-end FAIR research data management & analysis capabilities along with the necessary support and training for UK researchers working in the life sciences.
February 16, 2026
FIDELIS Data Reuse Workshop #2 – Overcoming (perceived) barriers to reuse of research data: Legal and ethical aspects
In this second training workshop, we consider some legal and ethical aspects of data reusability. Through a series of talks and guided discussions we consider how data professionals are supporting and collaborating with researchers in research data management and sharing, including support with the CARE Principles. We consider what repositories should be (better) aware of regarding the challenges that researchers face around data ownership and ethical challenges, both as data depositors and potential data reusers. We look at what current projects are working on that aim to better inform researchers about how data has been used or can be (re)used, including more complex data access and reuse conditions.
February 16, 2026
FIDELIS Data Reuse Workshop #1 – Overcoming (perceived) barriers to reuse of research data: Cultural and educational aspects
In this first training workshop, we consider some cultural and educational aspects of data reusability. Through a series of talks and guided discussions we consider how data professionals are supporting and collaborating with researchers in research data management and sharing. We consider what repositories should be (better) aware of regarding the challenges and opportunities that researchers face around data sharing, reproducibility and reuse, including driving forces in the research communities.
February 12, 2026
ELIXIR-UK RDM Club: Open and sustainable AI – models and datasets as key assets
The UK RDM club (run by our wonderful project partners ELIXIR-UK) is a monthly meeting held over zoom on the first Tuesday of every month, with a focus on ELIXIR-UK activities that help people manage their life science research data. They welcome participation from data stewards, support staff and researchers interested in Research Data Management (RDM) in the life sciences. In this RDM Club Call, Gavin Farrell (ELIXIR Ireland), a contributor to ELIXIR’s AI Ecosystem Focus Group work, will introduce the concept of Open and Sustainable AI (OSAI). Grounded in the ELIXIR Europe Machine Learning Focus Group work that culminated in the 2025 preprint Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences, the talk presents nine OSAI guidelines for ensuring AI datasets and models can be reused and reproduced while also supporting environmental sustainability.