Making Research Data
FAIR from the Start
Open-source tools and workflows that help researchers implementFindable, Accessible, Interoperable and Reusabledata practices throughout their entire project lifecycle.
The FAIR Principles
A set of guiding principles to make data machine-actionable, enabling minimal human intervention during data reuse.
Findable
Data and metadata are assigned globally unique identifiers and registered in searchable resources.
Accessible
Data and metadata are retrievable through standardised, open protocols, with clear access conditions.
Interoperable
Data uses formal, shared vocabularies and references other data using globally unique identifiers.
Reusable
Data has rich metadata and a clear usage licence so it can be replicated and combined with other data.
Our Tools
Open-source tools built in collaboration between Wageningen University & Research and UNLOCK.
FAIR Data Station
Record & validate metadata, generate RDF linked data.
LEAF
Automated, standardised data collection from lab equipment.
OAK
Backend stack that receives, stores & visualises LEAF data.
FAIR by Design Ontology
Controlled vocabulary with stable fairds: identifiers.
CWL Workflows
Reproducible computational workflows with provenance tracking.
Fully Open Source
All tools are open source and free to use. Fork them, adapt them, or contribute back. Developed at Wageningen University & Research and UNLOCK.
gitlab.com/m-unlock


