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D2.6 First reference implementation of the data repositories features

Claudia Behnke; Kees Burger; Yann le Franc; Wim Hugo; Pekka Järveläinen; Jessica Parland-von Essen; Gerard Coen


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        "title": "Fostering FAIR Data Practices in Europe", 
        "acronym": "FAIRsFAIR", 
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    "publication_date": "2021-02-26", 
    "creators": [
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        "affiliation": "SURF", 
        "name": "Claudia Behnke"
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        "affiliation": "LUMC", 
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    "description": "<p>This document is the second report from Task 2.2 of the FAIRsFAIR project. It demonstrates how the<br>\nfeatures for FAIR enabling repositories (Behnke et al., 2020) are put into practice by building a FAIR<br>\nData Point (FDP) prototype 1 based on the DCAT2 data model, which is an RDF vocabulary designed<br>\nto facilitate interoperability between data catalogues published on the Web.<br>\nThe root of the FAIRsFAIR reference implementation is a FAIR Data Point. In general, it serves three<br>\ngoals:</p>\n\n<ol>\n\t<li>It allows a repository or any other holder or editor2 of data to expose metadata in a FAIR manner, with a strong focus on the F, A, and R as described in the FAIR Principles (Wilkinson et al., 2016)</li>\n\t<li>A consumer or viewer of the data can discover information that is stored in it.</li>\n\t<li>It is optimised to interact with humans and machines.</li>\n</ol>\n\n<p>The first chapter gives a recap on the motivation and maps requirements from Behnke et al. (2020)<br>\nto the prototype. The second chapter explains the reference implementation&rsquo;s technical details,<br>\nwhile the third describes the DCAT2 data model. In the fourth chapter, the authors analyse the<br>\ncommunity uptake, and in the fifth and last chapter, an outlook is presented.</p>"
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