fix schema

topics/fair/tutorials/fair-data-registration/tutorial.md

@@ -79,7 +79,7 @@ Table 3.1: The 15 FAIR Guiding Principles. Principles relating to data registrat
 
 Data deposition and registration refer to the process of uploading data to a searchable resource, and providing appropriate metadata to facilitate its discoverability.  For example, a data repository, where data and metadata can be uploaded, may enable it to be discovered, preserved and accessed.  Here we use the general term data repository to describe any online storage location that can host deposited (meta)data.
 
-In the context of FAIR, data deposition relates to a number of the Guiding Principles. Firstly,  _“(meta)data are registered or indexed [in a searchable resource]("Indexed in a searchable resource: a resource where (meta)data are organised so that they can be queried based on defined fields.")”_ (FAIR Principle F4).  Searchable (indexed) metadata enables humans and computers to query and discover data of interest, though this depends on what is indexed.  Here, indexing refers to a process that occurs within the architecture of the data repository (local indexing) where metadata are organised so that they can be queried based on a defined field.  It is worth noting that community resources, focused on a particular domain (for example, the human database in [Ensembl](https://www.ensembl.org/Homo_sapiens/Info/Index)) are better indexed for a particular community, rather than generic repositories (for example, [Zenodo](https://zenodo.org/)) which may not index the community specific components, and may focus on higher level metadata.  Indexing by an internet search engine is another example of this.  Google (and other search engines, such as yahoo and yandex) have an agreed vocabulary ([schema.org](https://schema.org/)), within web pages, that are ‘scraped’ and indexed.  While the focus of this vocabulary was originally intended for commercial products, community specific efforts to facilitate discipline-specific indexing are under way (for example, [Bioschemas](https://faircookbook.elixir-europe.org/content/recipes/findability/seo/bioschemas-data-page.html)). 
+In the context of FAIR, data deposition relates to a number of the Guiding Principles. Firstly,  _“(meta)data are registered or indexed in a searchable resource, Indexed in a searchable resource: a resource where (meta)data are organised so that they can be queried based on defined fields, ”_ (FAIR Principle F4).  Searchable (indexed) metadata enables humans and computers to query and discover data of interest, though this depends on what is indexed.  Here, indexing refers to a process that occurs within the architecture of the data repository (local indexing) where metadata are organised so that they can be queried based on a defined field.  It is worth noting that community resources, focused on a particular domain (for example, the human database in [Ensembl](https://www.ensembl.org/Homo_sapiens/Info/Index)) are better indexed for a particular community, rather than generic repositories (for example, [Zenodo](https://zenodo.org/)) which may not index the community specific components, and may focus on higher level metadata.  Indexing by an internet search engine is another example of this.  Google (and other search engines, such as yahoo and yandex) have an agreed vocabulary ([schema.org](https://schema.org/)), within web pages, that are ‘scraped’ and indexed.  While the focus of this vocabulary was originally intended for commercial products, community specific efforts to facilitate discipline-specific indexing are under way (for example, [Bioschemas](https://faircookbook.elixir-europe.org/content/recipes/findability/seo/bioschemas-data-page.html)). 
 
 # Why should I upload my data to a data repository?