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6 results for “FAIRification”
A Taxonomy of Tools and Approaches for FAIRification
<p>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.</p> <p> </p> <p>Datasets:</p> <ol> <li> <p>queryResults.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>The dataset consists of the query results returned by OpenAIRE Explore and defines the corpus at the base of our study.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>11 columns:</p> <ol> <li> <p>Query</p> <ul> <li> <p>Type of query entered</p> <ul> <li> <p>FAIR, FAIRification (all fields)</p> </li> <li> <p>OpenAIRE subjects (subject)</p> </li> </ul> </li> </ul> </li> <li> <p>Result Type [OpenAIRE label]</p> <ul> <li> <p>Type of the research output (publication|data|software|other)</p> </li> </ul> </li> <li> <p>Title [OpenAIRE label]</p> </li> <li> <p>Authors [OpenAIRE label]</p> </li> <li> <p>Publication Year [OpenAIRE label]</p> </li> <li> <p>DOI [OpenAIRE label]</p> </li> <li> <p>Download from [OpenAIRE label]</p> </li> <li> <p>Type [OpenAIRE label]</p> <ul> <li> <p>Subtype of the research output</p> </li> </ul> </li> <li> <p>Journal [OpenAIRE label]</p> </li> <li> <p>Funder|Project Name (GA Number) [OpenAIRE label]</p> </li> <li> <p>Access [OpenAIRE label]</p> <ul> <li> <p>Access rights</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> <li> <p>publicationsTools.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>The dataset pairs the tools/services extracted from the corpus to their respective source.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>2 columns:</p> <ol> <li> <p>source</p> <ul> <li> <p>reference to the publication or software citation</p> </li> </ul> </li> <li> <p>name</p> <ul> <li> <p>name of the tool/service/technology</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> <li> <p>toolsAll.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>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.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>3 columns:</p> <ol> <li> <p>entryType</p> <ul> <li> <p>entry categorisation (tool|service|technology|excluded)</p> </li> </ul> </li> <li> <p>name</p> <ul> <li> <p>name of the tool/service/technology</p> </li> </ul> </li> <li> <p>URL</p> <ul> <li> <p>URL of the tool/service web page or description</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> <li> <p>toolsType.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>Classification of the tools/services/technologies into the study-defined classes.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>19 columns:</p> <ol> <li> <p>name</p> <ul> <li> <p>name of the tool/service/technology</p> </li> </ul> </li> <li> <p>URL</p> <ul> <li> <p>URL of the tool/service web page or description</p> </li> </ul> </li> <li> <p>GUPRI helper - GUPRI creation and management service</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>GUPRI helper - GUPRI Indexing and discovery service</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Metadata helper - Metadata editor</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Metadata helper - Metadata extractor</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Metadata helper - Metadata tracker</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Metadata helper - Metadata validator</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Metadata helper - Metadata assistant</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Indexing and discovery service - registry</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Indexing and discovery service - repository</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Indexing and discovery service - Indexing and discovery service finder</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Converter - metadata</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Converter - data</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Licence helper</p> <ul> <li> <p>‘class’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Assessment tool - automated</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Assessment tool - manual</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>Assessment tool - Assessment tool finder</p> <ul> <li> <p>‘class - subclass’ of the tool/service/technology</p> </li> </ul> </li> <li> <p>DMP tool</p> <ul> <li> <p>‘class’ of the tool/service/technology</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> <li> <p>toolsFAIR.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>The dataset relates the tool/service/technology to the FAIR principles it enables.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>12 columns:</p> <ol> <li> <p>name</p> <ul> <li> <p>name of the tool/service/technology</p> </li> </ul> </li> <li> <p>URL</p> <ul> <li> <p>URL of the tool/service web page or description</p> </li> </ul> </li> <li> <p>F1</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>F2</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>F3</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>F4</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>A</p> <ul> <li> <p>generic reference to the accessibility principles (see the paper)</p> </li> </ul> </li> <li> <p>I1</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>I3</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>R1.1</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>R1.2</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> <li> <p>R1.3</p> <ul> <li> <p>reference to the FAIR principle</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> <li> <p>toolsScope.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>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.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>6 columns:</p> <ol> <li> <p>name</p> <ul> <li> <p>name of the tool/service/technology</p> </li> </ul> </li> <li> <p>URL</p> <ul> <li> <p>URL of the tool/service web page or description</p> </li> </ul> </li> <li> <p>(meta)data</p> <ul> <li> <p>reference to the FAIR-specific resource</p> </li> </ul> </li> <li> <p>semantic artefact</p> <ul> <li> <p>reference to the FAIR-specific resource</p> </li> </ul> </li> <li> <p>software</p> <ul> <li> <p>reference to the FAIR-specific resource</p> </li> </ul> </li> <li> <p>workflow</p> <ul> <li> <p>reference to the FAIR-specific resource</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> <li> <p>toolsDomain.csv</p> <ul> <li> <p>Description</p> <ul> <li> <p>Classification of the tools/services/technologies into the Frascati framework-defined domains.</p> </li> </ul> </li> <li> <p>Structure</p> <ul> <li> <p>9 columns:</p> <ol> <li> <p>name</p> <ul> <li> <p>name of the tool/service/technology</p> </li> </ul> </li> <li> <p>URL</p> <ul> <li> <p>URL of the tool/service web page or description</p> </li> </ul> </li> <li> <p>cross-domain</p> <ul> <li> <p>domain</p> </li> </ul> </li> <li> <p>Agricultural and veterinary sciences</p> <ul> <li> <p>domain</p> </li> </ul> </li> <li> <p>Engineering and technology</p> <ul> <li> <p>domain</p> </li> </ul> </li> <li> <p>Humanities and the arts</p> <ul> <li> <p>domain</p> </li> </ul> </li> <li> <p>Medical and health sciences</p> <ul> <li> <p>domain</p> </li> </ul> </li> <li> <p>Natural sciences</p> <ul> <li> <p>domain</p> </li> </ul> </li> <li> <p>Social sciences</p> <ul> <li> <p>domain</p> </li> </ul> </li> </ol> </li> </ul> </li> </ul> </li> </ol>
The FAIRplus FAIRification framework diagrams
<p>The <a href="https://fairplus-project.eu/">FAIRplus project</a> has produced a practical FAIRification framework consisting of an overall process, a template of FAIRification steps and a work plan to implement specific FAIRification steps for a project or dataset. A full description of the framework is <a href="https://doi.org/10.5281/zenodo.7157066">available elsewhere</a>. </p> <p>This record provides PDF, PNG and SVG versions of the different parts of the framework - the general overview (FAIRplusFAIRificationFramework), the FAIRification process (FAIRplusFAIRificationProcess), the FAIRification template (FAIRplusFAIRificationTemplate) and a blank example of the FAIRification work plan (FAIRplusFAIRificationWorkplan).</p> <p>All parts of the framework are freely available for reuse (CC BY 4.0). An editable version of the work plan can be made available on request.</p>
Official GO FAIR Foundation icons for the Three-Point FAIRification Framework
<p>The official icons for the Three-Point FAIRification Framework (3PFF): Metadata for Machines Workshops, FAIR Implementation Profiles and FAIR Orchestration, created by the GO FAIR Foundation.</p>
A goal-based FAIRification planning method
<p>This image illustrates the first draft of the goal-based FAIRification planning method, which builds on experience gained from recent FAIRification projects and feedback from experts on FAIR.</p> <p><strong>An up-to-date version of this method is described at</strong> <a href="https://doi.org/10.21203/rs.3.rs-3092538/v1">https://doi.org/10.21203/rs.3.rs-3092538/v1</a></p>
FAIRification des Datensatzes "lissoirs" aus dem Volp Höhlen-Projekt der Forschungsstelle Felsbildarchäologie der FAU Erlangen im Zuge des NFDI4Objects Dataships 2024.
<p>Im Zuge des NFDI4Objects Dataship Grants wird hier der Datensatz veröffentlich, der im Jahr 2022 für die Masterarbeit von Cornelia Lechner an der FAU Erlangen-Nürnberg erstellt wurde. Dargelegt wird sowohl das Aufnahmesystem für die Merkamlsanalyse der lissoirs, einem wichtigen paläolithischen Werkzeug-Typ, sowie die Daten der 292 untersuchten lissoirs aus Enlène, Département Ariège, Frankreich.</p>
ND4BB FAIRplus FAIRification datafiles
<p>The current data set contains all the pre-requisite files needed for the workflow explained in the <a href="https://faircookbook.elixir-europe.org/content/recipes/applied-examples/nd4bb.html#">FAIR CookBook recipe</a>. </p> <p>The KNIME workflows for the same can be found on <a href="https://hub.knime.com/-/spaces/-/latest/~p9XAIy2SZt2V_R_5/">KNIME Hub</a>.</p>
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