Topic: research community

This ChemSpider panel examines how researchers can manage scientific data and find practical support for that work. The speakers discuss why data management matters, which standards support it, and how community projects help researchers organize and maintain their data. The session combines advice on everyday practice with an overview of resources available to the research community.

Richard Samworth discusses the research behind his invited talk at the 2026 International Congress of Mathematicians. He explains how statistics connects theoretical questions with practical applications and reflects on mathematical collaboration and the research community at Cambridge.

Given the intrinsically large and complex data sets collected in neuroimaging research, coupled with the extensive array of shared data and tools amassed in the research community, ReproNim seeks to lower the barriers for efficient: use of data; description of data and process; use of standards and best practices; sharing; and subsequent reuse of the collective ‘big’ data. Aggregation of data and reuse of analytic methods have become critical in addressing concerns about the replicability and power of many of today’s neuroimaging studies.