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.

F

Findable

Data and metadata are assigned globally unique identifiers and registered in searchable resources.

A

Accessible

Data and metadata are retrievable through standardised, open protocols, with clear access conditions.

I

Interoperable

Data uses formal, shared vocabularies and references other data using globally unique identifiers.

R

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.

leaf-framework.org →

OAK

Backend stack that receives, stores & visualises LEAF data.

OAK Docs →

FAIR by Design Ontology

Controlled vocabulary with stable fairds: identifiers.

Browse Ontology →

CWL Workflows

Reproducible computational workflows with provenance tracking.

View on WorkflowHub →

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