FAIROs - FAIR Research Objects Assessment

Description


FAIROs, a framework for assessing the compliance of a Research Object (and its constituents) against the FAIR principles.

FAIROs reuses existing FAIR validators for individual resources and proposes:

  • Two scoring methods for assessing the fairness of Research Objects
  • An initial implementation of the scoring methods in the FAIROs framework
  • An explanation-based approach designed to visualize the obtained scores.

Service


FAIROs is a service accesible through an API. You can find a complete specification here.

FAIROs is integrated in the platform ROHUB, deployed by the project RELIANCE.

In this platform, you can find a huge variety of research objects. Note that each research object has been assessed using FAIROs. See this example that analyzes the air and water quality during COVID-19 lockdown in Venice.

Note that the assessment will take some time due to the size of the research object.

Output Specification


FAIROs has a very complete output in JSON format that describe each FAIR principle assessment, as well as the scoring. You can find a complete description of the output in this link.

Software


The pointers for the main software used can be found below:

    Repository for the work on evaluating FAIRnes of Research Objects

    Readme
    License: Apache License 2.0
    Citation
    Installation
    Requirements
    Download
    htmlpython

    Bibliography


    In this publication, you can find a description of the tool, following by a discussion about the implementation of different scoring policies.

    González, E., Benítez, A., Garijo, D. (2022). FAIROs: Towards FAIR Assessment in Research Objects. In: Silvello, G., et al. Linking Theory and Practice of Digital Libraries. TPDL 2022. Lecture Notes in Computer Science, vol 13541. Springer, Cham.

    In this publication, you can find an extensive article about the integration of FAIROs in ROHUB, and an analysis of the results obtained.

    González, Esteban, Daniel Garijo, Óscar Corcho, Raúl Palma, Malgorzata Wolniewicz and Aron Rynkiewicz. “FAIR Research Object Assessment: A landscape analysis.” Workshop on Data and Research Objects Management for Linked Open Science (2023). DOI:10.4126/FRL01-006444989

    Contact


    • Email: egonzalez@fi.upm.es

    About the authors


    Daniel Garijo

    Daniel Garijo

    Author

    Researcher at OEG-UPM

    http://w3id.org/people/dgarijo

    I am a researcher at Universidad Politécnica de Madrid. My research activities focus on e-Science and the Semantic Web, specifically on how to increase the ease of use of software and scientific workflows using provenance, metadata, intermediate results and Linked Data.

    Esteban González

    Esteban González

    Author

    PhD student

    I am a PhD student at Universidad Politécnica de Madrid. My research activities focus on OpenScience and NLP, specifically in the detection of research artefacts in scientific publications. Also, my research activities involve the publication of FAIR Research Objects.

    Alejandro Benitez

    Alejandro Benítez

    Author

    Student at UPM