Imagine a world where vast volumes of complex data are seamlessly interconnected and easily reusable. To help realize this aspiration, an international initiative began in 2014 to make data and online services findable, accessible, interoperable, and reusable (FAIR) for machines.
Years of experience has taught us that data FAIRification requires a broad range of expertise. partners in FAIR leverages its network of prime movers to accelerate the wide-spread implementation of FAIR.
about
was founded in January 2020 after years of collaboration on the development of practical and efficient methods of FAIRification and FAIR convergence. partners in FAIR helps to meet the growing demand for systematic approaches to data FAIRification, light-weight tooling to get the job done, and FAIR training programs to help data stewards sharpen their FAIR-related skills. partners in FAIR is proud to be a GO FAIR Foundation Pioneer Organization.
who we are
Jacintha Schultes 
Erik Schultes 
Barbara Magagna
find out more about us
what we offer
developing and delivering FAIR training courses advising on the implementation of the FAIR principles facilitating Metadata for Machines (M4M) workshops facilitating FAIR Implementation Profile (FIP) workshops facilitating M4M/FIP Train-the-Trainer (T3) programs assisting projects and organizations
find out more about our workshops