Update data-description/human-clinical-and-health-data.md

Co-authored-by: Bert Droesbeke <[email protected]>

data-description/human-clinical-and-health-data.md

@@ -80,7 +80,7 @@ Metadata is essential in infectious disease settings for:
  * **Generic metadata standards**
     * {% tool "dcat"%} is a metadata standard for publishing data catalogues on the web. It facilitates sharing of data and the interoperability between data catalogues. Furthermore, it allows for federated searches of datasets across catalogues on multiple sites. This further increases the findability of data.
     * DCAT extension: One of the European Commission’s key priorities for 2019-2025 has been the creation of a {% tool "ehds" %} to promote digital transformation, and to optimise and widen the use of health data. In this regard, The [EHDS-2 Pilot](https://www.ehds2pilot.eu/) is developing a DCAT extension capable of capturing key information that should be available on a metadata record related to health data. 
-    * [Schema.org](https://schema.org/) is a metadata standard that helps search engines index web pages. It improves the machine-readability of the pages and so increases the discoverability of datasets. Schema.org tags also add semantics, and allow search engines to understand the type of content available on the web page.
+    * {% tool "schema-org" %} is a metadata standard that helps search engines index web pages. It improves the machine-readability of the pages and so increases the discoverability of datasets. Schema.org tags also add semantics, and allow search engines to understand the type of content available on the web page.
  * Standards such as HL7 and OMOP provide consistent frameworks for data representation. These standards ensure that health data is formatted and structured in a way that allows for seamless sharing and integration across different healthcare systems and studies.
     * HL7 (Health Level Seven International): HL7 is a set of international standards for the exchange, integration, sharing, and retrieval of electronic health information. It provides a framework for managing clinical and administrative data. While HL7 includes some ontological components, it is primarily a set of standards rather than a pure ontology.
     * OMOP (Observational Medical Outcomes Partnership): OMOP is a standardised data model and common data vocabulary. It is designed to facilitate the analysis of disparate observational healthcare databases, to improve the assessment of healthcare outcomes and safety. It goes beyond an ontological component (the OMOP Common Data Model and Vocabulary), and encompasses data standardisation and analytics frameworks.