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Metadata mapping is the process of establishing connections between corresponding metadata values or fields across different systems. In simple terms, it ensures that your metadata schema for your data is transformed to the HRI metadata schema in the correct way. It involves identifying and linking similar pieces of metadata information from one system to the relevant content or data elements in another system. This mapping ensures consistency and coherence between disparate datasets or databases, allowing for efficient data integration and interoperability. By associating equivalent metadata values or fields, metadata mapping enables seamless communication and exchange of information between systems, facilitating accurate data discovery, retrieval, and interpretation.

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:metadata from the PRISMA study. It contains information about the data available:

Class	Property	Property Label	Description/Example
dcat:Catalogue	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:Dataset	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:Distribution	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.
foaf:Agent	foaf:name	name	Radboudumc
	dct:identifier	identifier	`mailto:contact@radboudumc.nl`

Here is the same data mapped towards the Health-RI metadata core. It contains the same information, 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 vcard: <http://www.w3.org/2006/vcard/ns#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://radboudumc.nl/catalogue>
    a dcat:Catalog ;
    dct:title "Radboudumc Core Metadata" ;
    dct:description "This catalog describes the core metadata of Radboudumc datasets" ;
    dct:publisher <https://ror.org/05wg1m734> ;
    dcat:dataset <https://fdp.radboudumc.nl/dataset/8793226e-9a7c-4e8c-9cef-fce41ef0b865> .

<https://fdp.radboudumc.nl/dataset/8793226e-9a7c-4e8c-9cef-fce41ef0b865>
    a dcat:Dataset ;
    dct:title "Personalised RISk-based MAmmascreening Study (PRISMA)" ;
    dct: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 "2024-01-15"^^xsd:date ;
    dct:identifier <https://fdp.radboudumc.nl/dataset/8793226e-9a7c-4e8c-9cef-fce41ef0b865> ;
    dct:modified "2024-01-15"^^xsd:date ;
    dct:publisher [ a foaf:Agent ; foaf:name "Radboudumc" ; dct:identifier <https://ror.org/05wg1m734> ] ;
    dcat:theme <http://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> ;
    dct:license "Not yet available" ;
    dcat:accessURL <doi:not_yet_available> ;distribution [
     dcat:MediaType "text/csv" ;   a  dcat:ContactPointDistribution [;
        adcat:accessURL foaf:Agent<doi:not_yet_available> ;
        foafdcat:namemediaType "Radboudumctext/csv" ;
 
      vcard:hasEmail <mailto:contact@radboudumc.nl>     ] ;
    dcat:Distribution [
        dct:title "PRISMA Questionnaire data" ;
        dctdcat:description "The extensive questionnaire covers different topics such as demographics, personal characteristics, reproductive characteristics, medication, lifestyle, health status, family history, psychosocial characteristics."
    ] ;
    dcat:ContactPoint [
        a foaf:Agent ;
    dcat:mediaType    foaf:name "text/csvRadboudumc" ;
        dcatvcard:accessURLhasEmail <doi:not_yet_available><mailto:contact@radboudumc.nl>
    ] .

<https://ror.org/05wg1m734>
    a foaf:Agent ;
    foaf:name "Radboudumc" ;
    dct:identifier <https://ror.org/05wg1m734> .

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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