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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; Kohler, Manfred; Giessmann, Robert


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{
  "description": "<p>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<a><sup><sup>[1]</sup></sup></a>; 2) addressing chronic diseases; 3) neurodegenerative diseases and 4) emergence of antibiotic resistance. In addition, we have identified cross-cutting projects &ldquo;Cross&rdquo; which provide tools&nbsp;&nbsp;such as cell lines, biomarkers and animal models, which enable research progression in the primary priority areas. In the first period, some 25 projects have been identified based on the application of the criteria and discussions are ongoing with these consortia representatives&nbsp;&nbsp;in order to provide a steady flow of datasets into FAIRplus.</p>\n\n<p>&nbsp;</p>\n\n<p><a><sup><sup>[1]</sup></sup></a>&nbsp;see&nbsp;&nbsp;<a href=\"http://ec.europa.eu/programmes/horizon2020/en/h2020-section/health-demographic-change-and-wellbeing\">http://ec.europa.eu/programmes/horizon2020/en/h2020-section/health-demographic-change-and-wellbeing</a></p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Fraunhofer E.V", 
      "@type": "Person", 
      "name": "Gribbon, Philip"
    }, 
    {
      "affiliation": "University of Luxembourg", 
      "@type": "Person", 
      "name": "Gu, Wei"
    }, 
    {
      "affiliation": "Barcelona Supercomputing Centre", 
      "@type": "Person", 
      "name": "Sanz, Ferran"
    }, 
    {
      "affiliation": "Swiss Institute of Bioinformatics", 
      "@type": "Person", 
      "name": "Ioannidis, Vassilios"
    }, 
    {
      "affiliation": "AstraZeneca AB", 
      "@type": "Person", 
      "name": "Engkvist, Ola"
    }, 
    {
      "affiliation": "Bayer", 
      "@type": "Person", 
      "name": "Henderson, David"
    }, 
    {
      "affiliation": "Novartis Pharmaceuticals", 
      "@type": "Person", 
      "name": "Reilly, Dorothy"
    }, 
    {
      "affiliation": "University of Oxford", 
      "@type": "Person", 
      "name": "Rocca-Serra, Philippe"
    }, 
    {
      "affiliation": "Fraunhofer E.V", 
      "@type": "Person", 
      "name": "Zaliani, Andrea"
    }, 
    {
      "affiliation": "Fraunhofer E.V", 
      "@type": "Person", 
      "name": "Witt, Gesa"
    }, 
    {
      "affiliation": "Fraunhofer E.V", 
      "@type": "Person", 
      "name": "Kohler, Manfred"
    }, 
    {
      "affiliation": "Bayer", 
      "@type": "Person", 
      "name": "Giessmann, Robert"
    }
  ], 
  "url": "https://zenodo.org/record/3596024", 
  "datePublished": "2019-12-31", 
  "keywords": [
    "FAIRplus", 
    "FAIRification", 
    "IMI2 JU", 
    "Innovative Medicines Initiative", 
    "Datasets", 
    "Guidelies", 
    "H2020", 
    "Societal priorities"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3596024", 
  "@id": "https://doi.org/10.5281/zenodo.3596024", 
  "@type": "CreativeWork", 
  "name": "FAIRplus: D1.2 Selection criteria and guidelines for data sources from IMI projects and EFPIA internal databases"
}
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