About XeraFAIR
What is XeraFAIR?
XeraFAIR is an automated FAIRness assessment tool for research data objects. It evaluates datasets against the FAIR principles (Findability, Accessibility, Interoperability, Reusability) using the FAIRsFAIR assessment metrics developed by the F-UJI project.
Simply provide a DOI, URL, or other persistent identifier, and XeraFAIR will analyze the metadata and data accessibility, providing detailed scores and insights to help improve your data's FAIRness.
About FAIR Principles
The FAIR principles were published in 2016 to provide guidelines for improving the Findability, Accessibility, Interoperability, and Reusability of digital assets. These principles apply to data, metadata, and infrastructure.
Findable
Data and metadata should be easy to find for both humans and machines.
Accessible
Data should be retrievable via standardized protocols, with clear access conditions.
Interoperable
Data should use formal, shared vocabularies and include references to other data.
Reusable
Data should be well-described with rich metadata and clear usage licenses.
Assessment Methodology
XeraFAIR uses the F-UJI assessment engine, which evaluates research data objects against 17 core metrics developed by the FAIRsFAIR project. The assessment process:
- Resolves the provided identifier to a landing page
- Harvests metadata from multiple sources (HTML, PID providers, etc.)
- Evaluates each metric against the harvested data
- Calculates scores and maturity levels (0-3)
- Generates a detailed report with actionable insights
Part of Xera Open Science Platform
XeraFAIR is part of the Xera Open Science Platform, which includes tools for promoting transparency and quality in scientific research:
- XeraOpenScienceTracker - Monitor transparency indicators in scientific publications
- XeraRetractionTracker - Track post-retraction citations and research integrity
Acknowledgments
XeraFAIR is powered by the F-UJI FAIR assessment tool, developed by the FAIRsFAIR project. F-UJI was created by Anusuriya Devaraju and Robert Huber at PANGAEA.
The FAIRsFAIR project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 831558.
Open Source
XeraFAIR is open source and available on GitHub. Contributions, issues, and feature requests are welcome!
Citation
If you use XeraFAIR in your research, please cite both XeraFAIR and the F-UJI tool:
Devaraju, A., & Huber, R. (2020). F-UJI - An Automated FAIR Data Assessment Tool. Zenodo. https://doi.org/10.5281/zenodo.6361400