Quentin Groom, ICEDIG collaborator from Meise Botanic Garden, recently participated in a Bioschemas event on the use of schemas to improve searchability of data on the internet.
Applying markup to web pages makes them machine readable and searchable. Markup using schema.org vocabulary can be applied to web pages so they can be catalogued more logically and discovered more easily. Findability is, after all, one of the four tenets of the FAIR data principles, Quentin explains.
Contextual markup can be created through schemas.org, a collaborative project to create simple, machine readable, structured data on the internet. Schema descriptions can be added to a webpage using RDFa, Microdata or JSON-LD.
One useful illustration of the power of schemas is Google Data Search. Datasets where schemes had been implemented can be crawled by Google Data Search and the results delivered to the user.
That is where bioschemas.org is filling an important niche. They are developing schemas that can be used to describe web pages on all aspects of biology, including medicine, biochemistry, genomics, phenomics and taxonomy.
As a researcher and a data scientist you hope your data are useful. However, they are only useful if someone can find them. Take a look at schema.org and bioschemas.org and see if you can find a place to implement them.