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

Pippow, Andreas; Kroh, Franziska; Boiten, Jan-Willem; Mabile, Laurence


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