This document discusses Bioschemas, which aims to enable findability and interoperability of life sciences data on the web. It defines schemas using Schema.org for different types of life sciences data, including datasets and data catalogs. Bioschemas has over 200 members across 35 organizations that have deployed Bioschemas markup. It has ongoing work to increase adoption of Bioschemas across different types of life sciences resources and provide training and events for the community.
5. Schema.org: Semantic markup for web pages
http://bioschemas.org
Picture: Carole Goble, Turing Lecture 2018
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6. Schema for Datasets and Catalogs
Schema definitions:
• Dataset: A body of structured
information describing some
topic(s) of interest
http://schema.org/Dataset
– 91 properties
• DataCatalog: A collection of
datasets
http://schema.org/DataCatalog
– 91 properties
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https://schema.org/Dataset
7. Schema for Datasets and Catalogs
Google Profile
• Dataset: 9 basic properties
• DataCatalog: 1 property
• DataDownload: 2 properties
• Many more
Generic types
• Events
• Jobs
• ...
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8. Bioschemas
• Schema.org for life sciences
–Introduce life sciences types
• Use case driven
–Finding data
–Presenting search results
–Metadata exchange
• Minimum properties – 6
• Link to domain ontologies
Specification on top of schema.org
Layer of constrains + documentation +
extensions Specification
Data model
Minimum information
Controlled vocabularies
Cardinality
Documentation
Examples
New (properties | types)
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15. TeSS: Bioschemas in action
http://bioschemas.org
• Contact
• Description
• End date
• Event Type
• Host Institution
• Location
• Name
• Start Date
• …
Bioschemas Event:
16. Identifiers.org: Bioschemas DataCatalog in action (future)
ELIXIR All Hands 2018, June 2018, Berlin, Germany
• Description
• Keywords
• Name
• Provider
• URL
Bioschema DataCatalog:
• alternateName
• citation
• dateCreated
• licence
• …
17. Prototype: MarRef → BioSamples
Without an API
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https://github.com/EBIBioSamples/bioschemas_marref_demo/blob/master/Summary.md