FAIRPoints is a community-driven initiative aimed at promoting the implementation of the FAIR principles (Findability, Accessibility, Interoperability, and Reusability) in scientific data management and stewardship. It brings together researchers, policy and decision-makers, and the broader research support population to discuss practical approaches to handling large volumes of data across disciplines.

Through community discussions, special topics of interest and challenges regarding FAIR are identified, and speakers are invited to address the top points that the community should know about. These points are documented in a machine-readable, search engine optimized, and accessible guide, providing a compilation of use-cases, how-to-approaches, and training materials.

The community seeks to include diverse voices and make FAIR accessible to a broader audience, with equitable access and support for multiple languages. The goal is to work towards compensating volunteer efforts and connect and collect heterogeneous input from a global perspective.

FAIRPoints aims to bridge the divide between the research community, policy and decision-makers, and the broader research support population, promoting collaborations and partnerships, and developing guidelines for implementing FAIR principles. The initiative also showcases best practices and encourages the adoption of FAIR principles across disciplines through case studies and webinars.

FAIRPoints, in the sense of “that’s a great point!” and in the geometric sense of composing many points to form a larger shape or a coherent and connected ensemble of knowledge that is quick and easy to use, reuse, review and understand.

Together with GoFAIR US, SDSC, and SciLifeLab Data Centre, this event series aims to discuss, highlight, and share pragmatic solutions to making FAIR a reality from viewpoints that transverse geographic and domain areas in order to cultivate researchers’ engagement in FAIR on a global scale.