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Bioschemas: Introduction and Implementation Study Overview

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Bioschemas: Introduction and Implementation Study Overview

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Bioschemas aims to improve data interoperability in life sciences. It does this by encouraging people in life science to use schema.org markup, so that their websites and services contain consistently structured information. This structured information then makes it easier to discover, collate and analyse distributed data.

This presentation gives an overview of the project and the ELIXIR funded Implementation Study running through 2017.

Bioschemas aims to improve data interoperability in life sciences. It does this by encouraging people in life science to use schema.org markup, so that their websites and services contain consistently structured information. This structured information then makes it easier to discover, collate and analyse distributed data.

This presentation gives an overview of the project and the ELIXIR funded Implementation Study running through 2017.

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Bioschemas: Introduction and Implementation Study Overview

  1. 1. Alasdair J G Gray ELIXIR-UK Carole Goble Rafael C Jimenez ELIXIR-Hub ELIXIR Bioschemas Implementation Study Bioschemas
  2. 2. WHAT
  3. 3. Structured data markup for web pages
  4. 4. <div> <h1>Classic potato salad</h1> <div> Nutrition facts: <span>144 kcal</span>, </div> Ingredients: - <span>800g small new potato</span> Structured data markup for web pages Without markup
  5. 5. <div> <h1>Classic potato salad</h1> <div> Nutrition facts: <span>144 kcal</span>, </div> Ingredients: - <span>800g small new potato</span> Structured data markup for web pages Recipe Nutrition Calories Ingridients Title Without markup
  6. 6. <div itemscope itemtype="http://schema.org/Recipe"> <h1 itemprop="name">Classic potato salad</h1> <div itemprop="nutrition” itemscope itemtype="http://schema.org/NutritionInformation"> Nutrition facts: <span itemprop="calories">144 kcal</span>, </div> Ingredients: - <span itemprop="recipeIngredient">800g small new potato</span> - <span itemprop="recipeIngredient">3 shallot</span> Structured data markup for web pages RDFa JSON-LD Microdata With markup
  7. 7. Structured data markup for web pages
  8. 8. Bioschemas • Schema.org for biology • Minimum properties for –Finding data –Presenting search results Specification on top of schema.org Layer of constrains + documentation + extensions Specification Data model Minimum information Controlled vocabularies Cardinality Documentation Examples New (properties | types)
  9. 9. (Some) Life Sciences Metadata Specifications 5 April 2017 @gray_alasdair www.macs.hw.ac.uk/~ajg33 10 Depth Reach model HCLS DataDesc
  10. 10. Minimum information Controlled vocabularies Cardinality Data model New properties
  11. 11. Training Material
  12. 12. TeSS: Discovering Training Material
  13. 13. HOW
  14. 14. ELIXIR/Bioschemas activities planned for 2017 • Specifications and demonstrators –Data repository, Dataset, Sample, Phenotype, Beacons and Protein annotations • Discovery and validation tools • Support and community engagement –Meetings, Hackathons, Knowledge dissemination, Training in adoption Better exposure of metadata to search engines and registries Better search
  15. 15. Implementation Study Objectives Life Sciences Content Types schema.org content types for life science Data • Data repository, Dataset • Samples, Protein annotations • Phenotype annotations Discovery and Validation Discovery and validation of Bioschemas entries Community Support and Promotion • Support community and adoption • Alignment of technical activities • Working group within ELIXIR • Collaboration between ELIXIR and BD2K • Test benefits and issues Hands-onworkshops Smalldeliveryteam • Publication of metadata • Automated integration of metadata in specialised registries
  16. 16. Bioschemas Community Many stakeholders and work streams. Lots of enthusiasm. •Good communication and coordination • Among partners • With Bioschemas community • With schema.org •Two major activities • The Project • The Community ELIXIR Implementation Study EOSCPilot Bioschemas Project Schema.org Bioschemas.org Bioschemas Project Bioschemas Project ELIXIR
  17. 17. 2.Datasets 5.Plant Phenotypes 7. Bioschemas registry 8. Validation SusannaASansone Rafa Jimenez ??? Alasdair Gray The ELIXIR Implementation Study • Each subproject has milestones and deliverables • Each has a leader • Each is expected to – Cooperate with other subprojects – Cooperate with external projects
  18. 18. Hands-on workshops With online work in between • Synchronise subprojects and groups with workshops – Timetable – Templates for working and comms – Cross walks • Subprojects and groups work through collaborative documents • Bioschemas Web site – http://bioschemas.org – Googledocs – Github – Revise and consolidate groups • W3C Community Group – Mailing list Planning Agreement Adoption Application 1 2 3 4 March-April 2017 May-June 2017 July-Oct 2017 Nov-Feb 2018
  19. 19. Mapping SpecificationUse cases Mockup Adoption Testing Application Process
  20. 20. • Low barrier & attention span • Examples not manuals • Example + Spec not Spec then example • Schema.org + Just Enough NOT Just In Case • Find Use Case. • Bioschema is supported by but independent of sponsors (ELIXIR, BD2K etc) and will apply beyond those sponsors • Mark up datasets for Google Finding driven and Example driven

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