September 2, 2020 Presentation Open Access

Sarah COHEN-BOULAKIA

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{
  "description": "<p>Computational workflows describe the complex multi-step methods that are used for data collection, data preparation, analytics, predictive modelling, and simulation that lead to new data products. They can inherently contribute to the <strong>FAIR data principles</strong>: by processing data according to established metadata; by creating metadata themselves during the processing of data; and by tracking and recording data provenance. These properties aid data quality assessment and contribute to secondary data usage. Moreover, workflows are digital objects in their own right.</p>\n\n<p>This is a presentation of the paper <a href=\"https://doi.org/10.1162/dint_a_00033\">FAIR Computational Workflows</a>, published in <em>Data Intelligence</em>. The paper argues that FAIR principles for workflows need to address their specific nature in terms of their composition of executable software steps, their provenance, and their development.</p>\n\n<p>Presented at <a href=\"https://eccb2020.info/programme-at-a-glance/\">ECCB 2020</a> Workshop on <a href=\"http://FAIR Computational Workflows\">FAIR Computational Workflows</a>.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Universit\u00e9 Paris-Sud", 
      "@id": "https://orcid.org/0000-0002-7439-1441", 
      "@type": "Person", 
      "name": "Sarah COHEN-BOULAKIA"
    }
  ], 
  "url": "https://zenodo.org/record/4025295", 
  "citation": [
    {
      "@id": "https://doi.org/10.1038/sdata.2016.18", 
      "@type": "ScholarlyArticle"
    }
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  "datePublished": "2020-09-02", 
  "@type": "PresentationDigitalDocument", 
  "contributor": [
    {
      "affiliation": "Department of Computer Science, The University of Manchester", 
      "@id": "https://orcid.org/0000-0003-1219-2137", 
      "@type": "Person", 
      "name": "Carole Goble"
    }, 
    {
      "affiliation": "Department of Computer Science, The University of Manchester", 
      "@id": "https://orcid.org/0000-0001-9842-9718", 
      "@type": "Person", 
      "name": "Stian Soiland-Reyes"
    }, 
    {
      "affiliation": "Information Sciences Institute, University of Southern California", 
      "@id": "https://orcid.org/0000-0003-0454-7145", 
      "@type": "Person", 
      "name": "Daniel Garijo"
    }, 
    {
      "affiliation": "Information Sciences Institute, University of Southern California", 
      "@id": "https://orcid.org/0000-0001-8465-8341", 
      "@type": "Person", 
      "name": "Yolanda Gil"
    }, 
    {
      "affiliation": "Common Workflow Language project", 
      "@id": "https://orcid.org/0000-0002-2961-9670", 
      "@type": "Person", 
      "name": "Michael R. Crusoe"
    }, 
    {
      "affiliation": "Leibniz Institute of Plant Biochemistry (IPB Halle), Department of Biochemistry of Plant Interactions", 
      "@id": "https://orcid.org/0000-0002-4321-0257", 
      "@type": "Person", 
      "name": "Kristian Peters"
    }, 
    {
      "affiliation": "Leibniz Institute of Plant Biochemistry (IPB Halle), Department of Biochemistry of Plant Interactions", 
      "@id": "https://orcid.org/0000-0001-8014-6648", 
      "@type": "Person", 
      "name": "Daniel Schober"
    }
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4025295", 
  "@id": "https://doi.org/10.5281/zenodo.4025295", 
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    "url": "https://eccb2020.info/ntbew01/", 
    "alternateName": "ECCB", 
    "location": "virtual", 
    "@type": "Event", 
    "name": "19th European Conference on Computational Biology"
  }, 
  "name": "FAIR Computational Workflows"
}