Published September 30, 2019 | Version v1
Project deliverable Open

FAIRplus: D4.01 Description of the objective evaluation criteria for the application review

  • 1. Fraunhofer
  • 2. Lygature
  • 3. UPS


In order to increase all aspects of data discovery, accessibility and reusability, FAIRplus is launching a unique Fellowship Programme. By pooling PhD and/or postdoc students from Life Sciences departments of affiliated academic institutions with expert partners from SMEs, the programme provides an opportunity for researchers to build FAIRdata research groups in the field of FAIR data management. The programme is designed by the FRAUNHOFER INSTITUT FIT and implemented by selected FAIRplus partners. The purpose of this Fellowship Programme is to intensively train eligible PhD and/or postdoc students together with industry partners (from the EFPIA and SME network) in FAIR data management procedures. An increased knowledge transfer for FAIR data transformations will naturally lead to a wider sharing of best practices, greater opportunities for innovation, and more insights that can benefit the whole of society. The Fellowship Programme is - until further notice - scheduled to be active until the end of 2021. The following report provides an overview of the FAIR Fellowship Application Process, eligibility, preliminary application deadlines, information about the evaluation process as well as the evaluation criteria of both candidates and the selection of suitable project data sets.


This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 802750. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation and EFPIA companies.


D4.1_FAIRplus_evaluation criteria fellowships_V0.1.pdf

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FAIRplus – FAIRplus 802750
European Commission