How DataPLANT is bridging the gap between complex data standards and daily research practice.
One of the biggest hurdles in Research Data Management (RDM) is the technical barrier to entry. Many researchers support the idea of FAIR data, but in practice they face complex metadata standards, JSON files, and technical protocols that are far removed from their daily work at the bench or in the field.
DataPLANT has addressed this challenge head-on by treating scientists as “content creators” rather than data technicians. The solution lies in the Annotated Research Context (ARC)—a standardized yet flexible package that bundles research data, metadata, and workflow descriptions. More than 2,000 ARCs have already been created by the community, demonstrating strong adoption across plant science research. Building directly upon the internationally recognized RO-Crate standard, the ARC advances this foundational concept into a highly tailored and practical tool for the plant science community.
Simplifying the Complex
Instead of asking researchers to write code to make their data FAIR, DataPLANT provides tools (like ARCitect) that allow them to structure their research using familiar formats, such as spreadsheets with controlled vocabularies. The ARC acts as a “scaffold,” automatically handling the translation of these inputs into standards-compliant metadata (RO-Crate) in the background. This approach allows researchers to focus on documenting their experiments rather than dealing with technical data formats.
Real-World Actionability
The most recent milestone moves the ARC from a static storage format to an actionable publication model. Through a new integration with the Invenio platform, DataPLANT has enabled the first “true” data publication where the FDO is not just archived, but rendered and actionable.
A key innovation driving this is the Data Storage Resolver. This mechanism separates the persistent publication record from the physical storage location of the data. Whether the heavy raw data resides on a DataPLANT S3 bucket, moves to the European Nucleotide Archive (ENA), or sits on a local HPC cluster, the publication record remains stable and valid. This transparency ensures that data remains findable and accessible (FAIR) regardless of where it physically lives, making research data publications robust against changing storage infrastructures.
By combining user-friendly creation tools with a robust, decentralized backend, DataPLANT has turned the abstract concept of FDOs into a working reality for the plant science community and beyond.
About DataPLANT:
- https://nfdi4plants.org/
- Information about DataPLANT and the ARC infrastructure
ARCitect Desktop App:
- https://github.com/nfdi4plants/ARCitect
- Graphical Interface to create and edit ARCs
DataPLANT Knowledge Base:
- https://nfdi4plants.github.io/nfdi4plants.knowledgebase/
- Step-by-Step Instructions to create ARCs
What is RO-Crate?
- https://www.researchobject.org/ro-crate/
- Background information on the underlying standard
Invenio Publication Portal:
- https://archive.nfdi4plants.org/
- Searching and publishing ARCs as FAIR Digital Objects
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