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

Q2 2023
  • Skills, training, rewards, recognition
    • Skills and training
  • 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.

    Type of result