publication . Other literature type . Report . Article . 2019

FAIRplus: D1.2 Selection criteria and guidelines for data sources from IMI projects and EFPIA internal databases

Gribbon, Philip; Gu, Wei; Sanz, Ferran; Ioannidis, Vassilios; Engkvist, Ola; Henderson, David; Reilly, Dorothy; Rocca-Serra, Philippe; Zaliani, Andrea; Witt, Gesa; ...
Open Access
  • Published: 31 Dec 2019
  • Publisher: Zenodo
Creating selection criteria and guidelines, to aid identification of IMI datasets with the potential to generate high societal impact upon FAIRification, is an important goal of FAIRplus. This deliverable report describes the process put in place to identify, evaluate and select projects. Two thirds of projects to be addressed by FAIRplus will cover societal priorities of H2020, namely; 1) promoting healthy ageing[1]; 2) addressing chronic diseases; 3) neurodegenerative diseases and 4) emergence of antibiotic resistance. In addition, we have identified cross-cutting projects “Cross” which provide tools such as cell lines, biomarkers and animal models, which enab...
free text keywords: FAIRplus, FAIRification, IMI2 JU, Innovative Medicines Initiative, Datasets, Guidelies, H2020, Societal priorities
Funded by
EC| FAIRplus
  • Funder: European Commission (EC)
  • Project Code: 802750
  • Funding stream: H2020 | IMI2-RIA
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Other literature type . 2019
Provider: Datacite
Other literature type . 2019
Provider: Datacite
Report . 2019
Provider: ZENODO
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