Ensuring that research data follows the FAIR principles requires more than good documentation practices. The Annotated Research Context (ARC) concept provides a pragmatic and FAIR-by-design approach to structuring research data, metadata, and workflows as cohesive, machine-actionable digital objects. While Electronic Lab Notebooks (ELNs) such as eLabFTW are essential for capturing experimental workflows, sustainable data sharing and publication depend on well-structured research objects and standardized metadata. This hands-on workshop focuses on the creation and practical use of ARCs, a FAIR Digital Object developed within the DataPLANT initiative. Participants will learn how to build their own ARC using example datasets, structure experimental context, and enrich their projects with standardized, ontology-based metadata. Using the DataHUB platform, participants will experience how ARCs can be shared with colleagues, jointly curated, and versioned, enabling transparent and reproducible collaboration across teams and institutions.To demonstrate how laboratory documentation can feed into this workflow, the elab2ARC tool will be introduced as one option to extract data from eLabFTW into an ARC structure. Finally, participants will learn how curated and shared ARCs can be published directly from the DataHUB as citable data publications in an Invenio-based repository.The workshop provides a practical pathway from everyday research practice to collaborative, FAIR, and publishable research outputs.
Alashloo et al. (Fri,) studied this question.