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In this section, we describe the basics of metadata and explain what metadata mapping is. We also look at the Health-RI Core Metadata Schema and the metadata standards it builds upon. This page is intended for a general audience. For details on the standards and the schema, please visit the github specifications dedicated for data experts or data stewards https://github.com/Health-RI/health-ri-metadata/ .

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Below is an example of simple metadata of a blood a sample. It describes the important information about the sample including ID of the sample, ID of the patient, and a diagnosis:

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Property	Property Label	Description/Example
dcat:dataset	dataset	Personalised RISk-based MAmmascreening Study (PRISMA)
dct:description	Description	This catalog describes the core metadata of Radboudumc datasets
dct:publisher	Publisher	https://ror.org/05wg1m734
dct:title	Title	Radboudumc Core Metadata
dcat:ContactPoint	Contact Point	foaf:agent
dct:creator	Creator name	foaf:agent
dct: description	Description	The primary aim of the PRISMA study was to investigate the potential value of risk-tailored versus traditional breast cancer screening protocols in the Netherlands. Data collection took place between 2014-2019, resulting in ∼67,000 mammograms, ∼38,000 surveys, ∼10,000 blood samples and ∼600 saliva samples.
dct:issued	Issued	15/01/2024
dct: identifier	Identifier	https://fdp.radboudumc.nl/dataset/8793226e-9a7c-4e8c-9cef-fce41ef0b865
dct:modified	Modified	15/01/2024
dct:publisher	Publisher	foaf:agent
dcat:theme	Theme	http://purl.obolibrary.org/obo/MONDO_0007254, http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#C20116
dct:title	Title	Personalised RISk-based MAmmascreening Study (PRISMA)
dct:type	Type	http://purl.org/dc/dcmitype/Dataset
dct:license	License	Not yet available
dcat:accessURL	Access URL	DOI (not yet available)
dcat:MediaType	Format	text/csv
dcat:title	Title	PRISMA Questionnaire data
dcat:description	Description	The extensive questionnaire covers different topics such as demographics, personal characteristics, reproductive characteristics, medication, lifestyle, health status, family history, psychosocial characteristics.

Here is the same data mapped towards the DCAT-AP standard as a datasetHealth-RI metadata core. It contains the same information and adds some mandatory variables like description. However, however, now this data can be easily processed by a computer and is in a format that is common for many places on the web.

Code Block

@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<><https://fdp.radboudumc.nl/dataset/8793226e-9a7c-4e8c-9cef-fce41ef0b865>
    a dcat:Dataset ;
    dct:identifiertitle "BS001Personalised RISk-based MAmmascreening Study (PRISMA)" ;
    dct:title "Blood Sample" ;
    dct:description "Metadata for a blood sampledescription "The primary aim of the PRISMA study was to investigate the potential value of risk-tailored versus traditional breast cancer screening protocols in the Netherlands. Data collection took place between 2014-2019, resulting in ∼67,000 mammograms, ∼38,000 surveys, ∼10,000 blood samples and ∼600 saliva samples." ;
    dct:issued "2024-01-15T08:30:0015"^^xsd:dateTimedate ;
    dct:publisher "Lab Technician, Sarah Lee":identifier <https://fdp.radboudumc.nl/dataset/8793226e-9a7c-4e8c-9cef-fce41ef0b865> ;
    dct:modified "2024-01-15"^^xsd:date ;
    dct:subject "Hypertension"publisher <https://ror.org/05wg1m734> ;
    dcat:landingPagetheme "https<http://example.com/blood_sample"purl.obolibrary.org/obo/MONDO_0007254>, <http://ncicb.nci.nih.gov/xml/owl/EVS/Thesaurus.owl#C20116> ;
    dct:type <http://purl.org/dc/dcmitype/Dataset> ;
    dcatdct:accessRightslicense "InformedNot consentyet obtainedavailable" ;
    dcat:theme "HealthaccessURL <doi:not_yet_available> ;
    dcat:MediaType "text/csv" ;
    dcat:keyword "Blood sample", "Hypertension", "CBC", "Lipid Panel", "Glucose Test" ;ContactPoint [
        a foaf:Agent ;
      dcat  foaf:temporalname "2024-01-15T08:30:00/2024-01-15T10:00:00"^^xsd:dateTime ;"Radboudumc" ;
        vcard:hasEmail <mailto:contact@radboudumc.nl>
    ] ;
    dcat:Distribution [
        dct:title "PRISMA Questionnaire data" ;
        dct:description "The extensive questionnaire covers different topics such as demographics, personal characteristics, reproductive characteristics, medication, lifestyle, health status, family history, psychosocial characteristics." ;
        dcat:hasVersionmediaType "1.0text/csv" ;
        dcat:conformsToaccessURL <https://eurl.link/dcat-ap><doi:not_yet_available>
    ] .

To map your metadata you first need to understand the structure of your metadata and their semantic meaning and the ontology (vocabulary) used to to describe your data in a Resource Description Framework (RDF), in our case DCAT V3, format. The general outline of the mapping pipeline can be found here: https://health-ri.atlassian.net/wiki/spaces/FSD/pages/edit-v2/290291734?draftShareId=ff45a2e2-80ee-49aa-b6d6-c04dedb6f9f8

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Once your RDF data is ready, you can publish it to FAIR Data Point, where it can be harvested by the Catalogue. More information about this step can be found here: 3. Exposing metadata