Community-endorsed quality assurance and certification framework for professional training and qualifications

Q2 2023
  • Skills, training, rewards, recognition
    • Skills and training
  • Result description

    The Quality Assurance and certification Framework (QAF) for Open Science professional training and qualifications. It offers a reference framework (not a prescriptive requirement) to assure the quality of training materials and resources, based in four sections or sub-frameworks important in the context of Skills4EOSC project’s principles and philosophy: Minimum Viable Skillset, FAIR-by-design and ELSI (Ethical, Legal and Social Issues), in conjunction with a comprehensive evaluation framework and learning resources catalogues.

    Problem addressed

    Lack of standardized quality assurance criteria and frameworks has been a significant challenge in addressing the issues related to the creation and curation of high-quality learning/training materials on Open Science, FAIR data, and related topics.

    Who can use the result

    All of EOSC and more generally Open Science (OS) stakeholders.

    How to use the result

    The Quality Assurance and certification Framework (QAF) is open to reuse for all the EOSC community and more generally Open Science (OS) stakeholders.

    Type of result