FAIR Metric FM-F2 Mark D. Wilkinson, Susanna-Assunta Sansone, Erik Schultes, Peter Doorn, Luiz Olavo Bonino da Silva Santos, Michel Dumontier January 11, 2018

1

FIELD

DESCRIPTION

To which principle does it apply? What is being measured?

F2 - Data are described with rich metadata The availability of machine-readable metadata that describes a digital resource. Richness of metadata can refer to many dierent aspects. One aspect is that the machine readability of metadata makes it possible to optimize their discovery. For instance, Web search engines suggest the use of particular structured metadata elements to optimize search. Thus, the machinereadability aspect can help people and machines nd a digital resource of interest. Here, we focus on metadata being suciently rich in this sense - that the metadata document and the metadata elements are machine readable. Otherwise, it will also be dicult to understand what the digital resource is and what information is being provided about it.

Metric Identier Metric Name

Why should we measure it?

FM-F2: https://purl.org/fair-metrics/FM_F2 Machine-readability of metadata

What must be provided?

A URL to a document that contains machine-readable metadata for the digital resource. Furthermore, the le format must be specied.

How do we measure it?

HTTP GET on the metadata URL. A response of [a 200,202,203 or 206 HTTP response after resolving all and any prior redirects. e.g. 301 -> 302 -> 200 OK] indicates that there is indeed a document. The second URL should resolve to the record of a registered le format (e.g. DCAT, DICOM, schema.org etc.) in a registry like FAIRsharing.

What is a valid result?

Machine-readable or Machine-not-readable

For which digital resource(s) is this relevant? Examples of their application across types of digital resource

All

This URL can resolve to: - A record in a metadata registry relevant to your digital object (e.g. FAIRsharing.org, FAIR Data Point, smartAPI editor) - Your metadata on an HTML web page using schema.org - A FAIR Accessor. . . . . . . . . ... Semanticscience Integrated Ontology : http://semanticscience.org/ontology/sio.owl https://biosharing.org/bsg-s002686 Example of a DANS metadata-record of an archived dataset: https://easy.dans.knaw.nl/ui/datasets/id/easydataset:67859/tab/1 smartAPI's API metadata: https://raw.githubusercontent.com/WebsmartAPI/smartAPI/master/doc 2 Metadata record of a database: - GEO https://fairsharing.org/biodbcore-000441 Metadata record of a standard: - RDF https://fairsharing.org/bsg-s000559 Non-article Published Work - my Zenodo Deposit for polyA (https://doi.org/10.5281/zenodo.47641) myExperiment Workow

FAIR Metric FM-F2 - GitHub

Jan 11, 2018 - sufficiently rich in this sense - that the metadata document and the metadata elements are machine readable. Other- wise, it will also be difficult to understand what the digital resource is and what information is being provided about it. What must be provided? A URL to a document that contains machine- ...

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