Successful management, exchange and interpretation of an ever-growing tsunami of digital information and knowledge will depend on highly automated methods dealing with combined data. This will require artificial intelligence but also robust and informative ways to store and disseminate data and metadata. FAIR Digital Objects (FDOs) promise to provide the needed framework.

FAIR is about making data findable, accessible, interoperable and reusable both for humans and machines. FAIR digital objects have shown key capabilities to simplify and scale the use of data across domains, increase trust in data and ease the handling of high volumes of information. Now widespread consensus and collaboration is needed.

The 1st International Conference of FAIR Digital Objects brings together for the first time, key technical, scientific, industry, and science-policy stakeholders at this scale with the aim to boost the development and implementation of FDOs worldwide.

This conference collection explores two of the most urgent themes in constructing the FDO framework: research in structuring the knowledge domain and how to facilitate practical work, and practice in the design and building of FDO-consistent infrastructures.