research data . Dataset . 2022

A Taxonomy of Tools and Approaches for FAIRification

Mangione, Dario; Candela, Leonardo; Castelli, Donatella;
Open Access English
  • Published: 10 Feb 2022
  • Publisher: Zenodo
  • Country: Italy
Abstract
Datasets accompanying the study “A Taxonomy of Tools and Approaches for FAIRification” on the tools and approaches emerging from stakeholders’ experiences adopting the FAIR principles in practice. Datasets: queryResults.csv Description The dataset consists of the query results returned by OpenAIRE Explore and defines the corpus at the base of our study. Structure 11 columns: Query Type of query entered FAIR, FAIRification (all fields) OpenAIRE subjects (subject) Result Type [OpenAIRE label] Type of the research output (publication|data|software|other) Title [OpenAIRE label] Authors [OpenAIRE label] Publication Year [OpenAIRE label] DOI [OpenAIRE label] Download from [OpenAIRE label] Type [OpenAIRE label] Subtype of the research output Journal [OpenAIRE label] Funder|Project Name (GA Number) [OpenAIRE label] Access [OpenAIRE label] Access rights publicationsTools.csv Description The dataset pairs the tools/services extracted from the corpus to their respective source. Structure 2 columns: source reference to the publication or software citation name name of the tool/service/technology toolsAll.csv Description The dataset lists all the unique tool/service entries, distinguishing between those that were considered relevant for the study (further categorised into tools, technologies or services) and those that were excluded. Structure 3 columns: entryType entry categorisation (tool|service|technology|excluded) name name of the tool/service/technology URL URL of the tool/service web page or description toolsType.csv Description Classification of the tools/services/technologies into the study-defined classes. Structure 19 columns: name name of the tool/service/technology URL URL of the tool/service web page or description GUPRI helper - GUPRI creation and management service ‘class - subclass’ of the tool/service/technology GUPRI helper - GUPRI Indexing and discovery service ‘class - subclass’ of the tool/service/technology Metadata helper - Metadata editor ‘class - subclass’ of the tool/service/technology Metadata helper - Metadata extractor ‘class - subclass’ of the tool/service/technology Metadata helper - Metadata tracker ‘class - subclass’ of the tool/service/technology Metadata helper - Metadata validator ‘class - subclass’ of the tool/service/technology Metadata helper - Metadata assistant ‘class - subclass’ of the tool/service/technology Indexing and discovery service - registry ‘class - subclass’ of the tool/service/technology Indexing and discovery service - repository ‘class - subclass’ of the tool/service/technology Indexing and discovery service - Indexing and discovery service finder ‘class - subclass’ of the tool/service/technology Converter - metadata ‘class - subclass’ of the tool/service/technology Converter - data ‘class - subclass’ of the tool/service/technology Licence helper ‘class’ of the tool/service/technology Assessment tool - automated ‘class - subclass’ of the tool/service/technology Assessment tool - manual ‘class - subclass’ of the tool/service/technology Assessment tool - Assessment tool finder ‘class - subclass’ of the tool/service/technology DMP tool ‘class’ of the tool/service/technology toolsFAIR.csv Description The dataset relates the tool/service/technology to the FAIR principles it enables. Structure 12 columns: name name of the tool/service/technology URL URL of the tool/service web page or description F1 reference to the FAIR principle F2 reference to the FAIR principle F3 reference to the FAIR principle F4 reference to the FAIR principle A generic reference to the accessibility principles (see the paper) I1 reference to the FAIR principle I3 reference to the FAIR principle R1.1 reference to the FAIR principle R1.2 reference to the FAIR principle R1.3 reference to the FAIR principle toolsScope.csv Description Since the FAIR principles have been specified for different types of resources ((meta)data, semantic artefacts, software and workflows), the dataset correlates the tool/service/technology and the types of FAIR-specific resources it covers. Structure 6 columns: name name of the tool/service/technology URL URL of the tool/service web page or description (meta)data reference to the FAIR-specific resource semantic artefact reference to the FAIR-specific resource software reference to the FAIR-specific resource workflow reference to the FAIR-specific resource toolsDomain.csv Description Classification of the tools/services/technologies into the Frascati framework-defined domains. Structure 9 columns: name name of the tool/service/technology URL URL of the tool/service web page or description cross-domain domain Agricultural and veterinary sciences domain Engineering and technology domain Humanities and the arts domain Medical and health sciences domain Natural sciences domain Social sciences domain
Subjects
free text keywords: FAIR, Survey and overview, Systematic literature review, FAIR, Survey and overview, Systematic literature review
Communities
  • Rural Digital Europe DESIRA Projects : DESIRA
  • SoBigData
Funded by
EC| SoBigData-PlusPlus
Project
SoBigData-PlusPlus
SoBigData++: European Integrated Infrastructure for Social Mining and Big Data Analytics
  • Funder: European Commission (EC)
  • Project Code: 871042
  • Funding stream: H2020 | RIA
,
EC| EOSC-Pillar
Project
EOSC-Pillar
Coordination and Harmonisation of National Inititiatives, Infrastructures and Data services in Central and Western Europe
  • Funder: European Commission (EC)
  • Project Code: 857650
  • Funding stream: H2020 | RIA
,
EC| DESIRA
Project
DESIRA
Digitisation: Economic and Social Impacts in Rural Areas
  • Funder: European Commission (EC)
  • Project Code: 818194
  • Funding stream: H2020 | RIA
,
EC| Blue Cloud
Project
Blue Cloud
Blue-Cloud: Piloting innovative services for Marine Research & the Blue Economy
  • Funder: European Commission (EC)
  • Project Code: 862409
  • Funding stream: H2020 | IA
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Dataset . 2022
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