Making Research Data
FAIR from the Start
Open-source tools and workflows that help researchers implement Findable, Accessible, Interoperable and Reusable data 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 and validate metadata to ensure FAIR scientific data management from day one. Generates structured RDF linked data from your metadata spreadsheets.
FAIR by Design Ontology
Controlled vocabulary of metadata terms with stable fairds: identifiers.
Includes MIxS, Schema.org and other external terms used in FAIR Data Station packages.
CWL Workflows
Reusable computational workflows written in the Common Workflow Language, with provenance tracking for fully reproducible research pipelines.
View on WorkflowHub →LEAF
Lightweight Equipment Adapter Framework — extract data and metadata from research equipment and transfer it via MQTT to any endpoint.
leaf-framework.org →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