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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 Adhering to such standards ensure ensures consistency, interoperability and effective management of metadata across different systems, organizations and disciplines.
Here are some common commonly used metadata standards we use at Health-RI:
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DCAT: Data Catalog Vocabulary is a metadata standard specifically designed for describing datasets and data catalogs on the web. DCAT is based on RDF (Resource Description Framework), which is a standard model for representing and exchanging metadata and data on the web in a machine-readable format (ie. data structured in a way processable by a computer).
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.
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The National Health Data Catalogue currently works with a Core Metadata Set. This Core Metadata Schema is a formal shared conceptualisation of the requirements to find and reuse information across Health-RI nodes via the National Catalogue. It represents a set of minimal elements for describing each resource (including dataset) with common metadata. The current version of the Core Metadata Schema includes DCAT v3 and some selected DCAT-AP mandatory classes and their definitions. DCAT v3 is a data catalogue vocabulary with DCAT-AP being an application profile for describing public sector datasets in Europe.
The set is split into several classes describing the data. At the moment four classes (Dataset, Catalogue, Resourse, and Agent are mandatory. Each class is populated by a set of mandatory and recommended variables. You can find all of the descriptions of variables and classses here: Core Metadata Schema Specification
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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. 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
Below is an example of simple metadata 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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