Illustrations from Advancing Collaboration and Data Sharing Agreements in Biomedical AI Research Workshop

Maya Schmidt(Centro Universitário do Triângulo), Emma Karoune(The Alan Turing Institute), Giulia Tomba(The Alan Turing Institute), Denise Bianco(The Alan Turing Institute), Kim T Gurwitz(European Bioinformatics Institute), Eirini Koutsouroupa(The Alan Turing Institute), Vera Matser(The Alan Turing Institute), Daria Sokolova(European Bioinformatics Institute)
Zenodo (CERN European Organization for Nuclear Research)
April 29, 2026
Cited by 0Open Access
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Abstract

We include here illustrations created by Scriberia during our workshop activities. The Advancing Management Skills in Biomedical AI Research Project started on 1st October 2025 and has been a rapid research project investigating difficulties in cross-sector collaboration and data sharing for Biomedical AI research. To address this question, it was essential to engage a broad range of stakeholders working in Biomedical AI research so that we could gain a better understanding of current challenges and barriers, surface existing best practices and ongoing initiatives and move towards practical and innovative solutions. We started by forming a working group to begin understanding the challenges and to get suggestions on the structure and focus of our planned workshop. Therefore, informed by input from our working group, we organised a one-day in person workshop (Advancing Collaboration and Data Sharing Agreements in Biomedical AI Research Workshop) that was held on 4th February 2026 at Wallacespace in Spitalfields, London. We brought together a wide range of stakeholders from different sectors, different disciplines and roles within the AI biomedical research community, including the biomedical data science community, research technical professional networks, and research infrastructures. These included individuals working across the management of AI research such as legal, research and strategy managers, knowledge exchange and research culture professionals, as well as data science and AI specialists. See a workshop summary here: To be added Acknowledgements We would like to acknowledge the contributions of the wider Biomedical AI research community to this event and the overall work of this project. These contributions included being part of and attending working group meetings from October 2025 to December 2025, individual meetings with the research team, asynchronous contributions to working group note documents and attendance at our workshop on 4th February 2026. The project and event were shaped, organised and facilitated by the ABDC Team, and we also want to thank our Turing colleagues, Vanessa Forster, Kit Good, Luis Santos, Martin O’Reilly, Mark Saunders for their helpful initial discussions on the project topic and their help with facilitation at working group meetings and our workshop. Funding acknowledgement This workshop was part of the Advancing Management Skills in Biomedical AI Research project, which is funded by the EPSRC Pilot approaches for supporting skills in AI grant (UKRI3180). This project is also supported by the Advancing Biomedical Data Science Project Team, which is a collaboration between The Alan Turing Institute and EMBL-EBI, funded by the Medical Research Council as part of the Biomedical Data Science Leadership Awards.


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