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D2.6 First reference implementation of the data repositories features

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

D2.6 First reference implementation of the data repositories features

Abstract

This document is the second report from Task 2.2 of the FAIRsFAIR project. It demonstrates how the features for FAIR enabling repositories (Behnke et al., 2020) are put into practice by building a FAIR Data Point (FDP) prototype 1 based on the DCAT2 data model, which is an RDF vocabulary designed to facilitate interoperability between data catalogues published on the Web. The root of the FAIRsFAIR reference implementation is a FAIR Data Point. In general, it serves three goals: 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) A consumer or viewer of the data can discover information that is stored in it. It is optimised to interact with humans and machines. The first chapter gives a recap on the motivation and maps requirements from Behnke et al. (2020) to the prototype. The second chapter explains the reference implementation’s technical details, while the third describes the DCAT2 data model. In the fourth chapter, the authors analyse the community uptake, and in the fifth and last chapter, an outlook is presented.

Country
Netherlands
Keywords

FAIR DATA POINT, Open data, FAIR

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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  • 372
    views
    261
    downloads
    Powered byOpenAIRE UsageCounts
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visibility
download
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
Average
Average
Average
372
261
Funded by
EC| FAIRsFAIR
Project
FAIRsFAIR
Fostering FAIR Data Practices in Europe
  • Funder: European Commission (EC)
  • Project Code: 831558
  • Funding stream: H2020 | CSA
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