F-UJI (FAIRsFAIR Research Data Object Assessment Service)
Developers: Anusuriya Devaraju, Robert Huber
F-UJI is a web service to programatically assess FAIRness of research data objects based on metrics developed by the FAIRsFAIR project.
This website aims to demonstrate the application of the web service as a backend to implement a user friendly web application which allows the evaluation of FAIRness of digital research data objects (aka data sets).
The 'F' stands for FAIR (of course) and 'UJI' means 'Test' in Malay. So F-UJI is a FAIR testing tool.
Cite as: Anusuriya Devaraju, & Robert Huber. (2020). F-UJI - An Automated FAIR Data Assessment Tool (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.4063720
Assessment Scope, Constraint and Limitation
The service is in development and its assessment depends on several factors.
- In the FAIR ecosystem, FAIR assessment must go beyond the object itself. FAIR enabling services and repositories are vital to ensure that research data objects remain FAIR over time. Importantly, machine-readable services (e.g., registries) and documents (e.g., policies) are required to enable automated tests.
- In addition to repository and services requirements, automated testing depends on clear machine assessable criteria. Some aspects (rich, plurality, accurate, relevant) specified in FAIR principles still require human mediation and interpretation.
- The tests must focus on generally applicable data/metadata characteristics until domain/community-driven criteria have been agreed (e.g., appropriate schemas and required elements for usage/access control, etc.). For example, for some of the metrics (i.e., on I and R principles), the automated tests we proposed only inspect the ‘surface’ of criteria to be evaluated. Therefore, tests are designed in consideration of generic cross-domain metadata standards such as dublin core, dcat, datacite, schema.org, etc.
- FAIR assessment is performed based on aggregated metadata; this includes metadata embedded in the data (landing) page, metadata retrieved from a PID provider (e.g., Datacite content negotiation) and other services (e.g., re3data).
The F-UJI user interface offered here aims to give the interested public the possibility to see how the output of F-UJI test results look like.
F-UJI is rapidly evolving and not yet available in a productive environment.
To test the REST service against a larger number of data sets, we recommend to install your own server using the latest code available there.
Please visit the F-UJI Github page and follow the installation instructions https://github.com/pangaea-data-publisher/fuji