Do you need a simple way to manage FAIR data while still keeping rich metadata, provenance, and persistent identifiers?
In our light talk you will discover Metafiles, a lightweight approach designed for research and digitalization projects where many datasets and files require structured metadata and clear relationships. The system combines ARK persistent identifiers, structured XML metadata files, and a consistent RDF representation of metadata and stored efficiently in a relational database.
Instead of relying on large infrastructures, this approach focuses on practical workflows researchers can integrate directly into their projects. Metadata can be shared across related activities, dependencies between datasets, scripts, and results can be captured through machine-readable provenance, and responsibilities for data management can be organized hierarchically across teams.
After this light talk you will better understand how persistent identifiers, provenance, and shared metadata support scalable and reproducible research workflows while remaining simple enough for everyday research use.
