Bioschemas is a grassroots community effort to improve the FAIRness of web-based resources in the Life Sciences by defining domain-specific metadata schemas which, when adopted, expose key metadata properties from resource records, aiding users to find data quickly, accurately and efficiently. We have been focused on reducing both technical (such as 'type' creation) and social barriers to adoption; One ‘blocker’ in Bioschemas adoption by many potential users/communities is avoidance of exploring Bioschemas based on the BioSciences (‘bio’) implications. To address this, we have also spun up a sister site to host the many domain-agnostic types/profiles that have emerged from our work (so far 7 profiles aligned to digital objects in research, e.g., workflows, datasets): https://schemas.science/
For the German Biohackathon, we have a number of independent strands:
- generate machine-readable types and profiles that can be directly consumed (eg Machine Learning).
- with nascent community/stakeholders (biodiversity/samples), run the entire process, end-to-end, of formalising a new type and profile
- focus on non 'bio' schemas to be hosted on schemas.science
- tooling for generating bioschemas for a given profile and type
Project lead: Nick Juty <