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📋 What is metadata mapping
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Metadata mapping and creation of a metatada schema will likely require involment of a semantic expert, data steward or equivalent. |
Metadata mapping is the process of establishing connections between corresponding metadata values or fields across different systems. 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. In simple terms it ensures that your metadata schema for your data is transformed to the HRI metadata schema in the correct way.
For example, this is a 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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Blood Sample Metadata:
- Sample ID: BS001
- Patient ID: P123456
- Patient Age: 42
- Patient Gender: Female
- Clinical Diagnosis: Hypertension
- Storage Conditions: -20°C freezer
- Processing Steps: Centrifugation at 3000 rpm for 10 minutes, aliquoting into 1 mL tubes
- Research Use: Yes
- Consent Status: Informed consent obtained
- Metadata Created By: Lab Technician, Sarah Lee
- Metadata Creation Date: January 15, 2024, 10:00 AM
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Here is the same data mapped towards the DCAT-AP standard as a dataset, it contains the same information and adds some mandatory variables like description. 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.
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@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
<> a dcat:Dataset ;
dct:identifier "BS001" ;
dct:title "Blood Sample" ;
dct:description "Metadata for a blood sample" ;
dct:issued "2024-01-15T08:30:00"^^xsd:dateTime ;
dct:publisher "Lab Technician, Sarah Lee" ;
dct:subject "Hypertension" ;
dcat:landingPage "https://example.com/blood_sample" ;
dcat:accessRights "Informed consent obtained" ;
dcat:theme "Health" ;
dcat:keyword "Blood sample, Hypertension, CBC, Lipid Panel, Glucose Test" ;
dcat:temporal "2024-01-15T08:30:00/2024-01-15T10:00:00"^^xsd:dateTime ;
dcat:hasVersion "1.0" ;
dcat:conformsTo <https://eurl.link/dcat-ap> . |
🔎 Metadata standards
A metadata standard is a set of rules, guidelines, and conventions that define how metadata should be structured, formatted, and described within a particular domain or context. These standards ensure consistency, interoperability, and effective management of metadata across different systems, organizations, and disciplines.
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DCAT-AP: DCAT Application Profile for Data Portals in Europe, is a metadata standard developed by the European Commission to facilitate the interoperability of data catalogs and portals across European countries. It builds upon the DCAT (Data Catalog Vocabulary) standard and extends it with additional requirements and recommendations tailored to the European context.
Next steps
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Additional resources
Technical details on DCAT AP and FAIR Datapoints - Youtube video
HRI Github - You can find recourses and examples on the Health-RI metadata Github.
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Questions?If you have questions about the onboarding process or would like to learn more. Reach out to our https://www.health-ri.nl/health-ri-servicedesk |