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BioSharing WG - ELIXIR IG - RDA Plenary 7, Tokyo, March 2016

Academic Lead for Research Practice; Professor of Data Readiness, Department of Engineering Science; Associate Director, Oxford e-Research Centre
Mar. 1, 2016
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BioSharing WG - ELIXIR IG - RDA Plenary 7, Tokyo, March 2016

  1. Susanna-Assunta Sansone, PhD Associate Director, PI - Oxford e-Research Centre, University of Oxford, UK Data Consultant - Nature Publishing Group’s Scien4fic Data
  2. 193 85 346 miame! MIAPA! MIRIAM! MIQAS! MIX! MIGEN! ARRIVE! MIAPE! MIASE! MIQE! MISFISHIE….! REMARK! CONSORT! MAGE-Tab! GCDML! SRAxml! SOFT! FASTA! DICOM! MzML! SBRML! SEDML…! GELML! ISA-Tab! CML! MITAB! AAO! CHEBI! OBI! PATO! ENVO! MOD! BTO! IDO…! TEDDY! PRO! XAO! DO VO! In the life sciences there are >600 content standards Databases and tools implemenEng Standards; also training material on and around standards
  3. de jure de facto grass-roots groups standard organizations Nanotechnology Working Group •  To structure, enrich and report the descripEon of the datasets and the experimental context under which they were produced Community-developed content standards
  4. Is there a database, implemen5ng standards, where to deposit my metagenomics dataset? My funder’s data sharing policy recommends the use of established standards, but which ones are widely endorsed and applicable to my toxicological and clinical data? Am I using the most up-to-date version of this terminology to annotate cell-based assays? I understand this format has been deprecated; what has been replaced by and how is leading the work? Are there databases implemenEng this exchange format, whose development we have funded? What are the mature standards and standards- compliant databases we should recommend to our authors? But how do we help users to make informed decisions?
  5. Planned output are •  principles for linking informaEon about databases, content standards and journal / funder policies in the life sciences •  and a curated registry to access and cross-search the informaEon, on which a variety of stakeholders can base their decisions
  6. Mapping the landscape of ‘standards’ in the life sciences 1,379 records and growing
  7. Mapping the landscape of ‘standards’ in the life sciences A web-based, curated and searchable registry ensuring that standards and databases are registered, informa4ve and discoverable; monitoring development and evolu5on of standards, their use in databases and adopEon of both in data policies 1,379 records and growing
  8. The International Conference on Systems Biology (ICSB), 22-28 August, 2008 Susanna-Assunta Sansone www.ebi.ac.uk/net-project Tracking evolution, e.g. deprecations and substitutions
  9. Cross-linking standards to standards and databases Model/format formalizing reporEng guideline --> <-- ReporEng guideline used by model/format We link (descriptions of) standards to related standards and databases, implementing them
  10. Conducted a 10 quesEons survey to assess users needs: 532 replies will inform the acEviEes of the BioSharing WG and further development of the registry Activities in collaboration with and The replies to other quesEons tell us about the users’ •  level of familiarity with standards •  type of standards they want to see in the registry •  descriptors about standards to help them make decisions •  desired funcEonality of the registry •  preferred indicator of maturity, adopEon and use of standards
  11. From simple and advance search interfaces to…. Powered by curated descripEons of each standard and database records, and their relaEons; ….the recommender system
  12. To inform the creaEon of templates to describe datasets, according to community standards, but rendering the standards invisible to the researchers Create standards-derived metadata elements High-level informa6on about the standards, their rela6ons and use by databases RDF or JSON representa6ons of the standards-derived elements Elements and their provenance served to
  13. also operaEng as a WG in Run at is also an contribuEon to
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