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The Diversity of Biomedical
Data, Databases and
Standards
Peter McQuilton
BioSharing Content Lead
https://www.biosharing.org
@biosharing
IG Elixir Bridging Force, WG Biosharing Registry,WG Data Type Registries,WG Metadata Standards Catalog
International Data Week, RDA, Denver, 15th September, 2016
A growth in data, a growth in
databases, a growth in standards
Number of databases in the NAR database issue, up to
2015 (from @AlexBateman1)
• Data/content standards:
• Structure, enrich and report the description of the datasets
and the experimental context under which they were produced
• Facilitate the discovery, sharing, understanding and reuse of
datasets
• ensure all digital research outputs are Findable, Accessible,
Interoperable and Reusable (FAIR)
Data has to be structured for sharing
– we need standards
Content standards – enablers
Formats Terminologies Guidelines
Minimum information reporting
requirements, checklists
o Report the same core,
essential information
o e.g. MIAME guidelines
Controlled vocabularies, taxonomies,
thesauri, ontologies etc.
o Use the same word and refer to
the same ‘thing’
o e.g. Gene Ontology
Conceptual model, conceptual
schema, exchange formats etc
o Allow data to flow from one
system to another
o e.g. FASTA
de jure de facto
grass-roots
groups
standard
organizations Nanotechnology Working Group
Over 700 content standards in biomedical
sciences
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
Formats Terminologies Guidelines
…….... …….... ……....
Technologically-focused
content standards
Biologically-focused content
standards
Even if common features exists, e.g.:
- description of source biomaterial
- experimental design components
these are inconsistently duplicated
Arrays
Scanning
Arrays &
Scanning
Columns
Gels
MS MS
FTIR
NMR
transcriptomics
proteomics
metabolomics
plant biology
epidemiology
microbiology
Diversity in Standards
What is BioSharing?
A web-based, curated and searchable portal that monitors the development and
evolution of standards, their use in databases and the adoption of both in data
policies, to inform and educate the user community.
What is BioSharing?
Standards are digital objects too and we make them FAIR
Data policies by
funders, journals and
other organizations
(>100)
Database, tools
and services
(>1000)
Content standards
(>700)
Complex and evolving landscape
Formats Terminologies Guidelines
Working with and for the community
NCBI Taxon
~1400 tags
Some hierarchy
Synonyms
4 axes –
- Process
- Material
- Datatype
- Property
What data do we capture?
Collections group together
one or more types of
resource by domain,
project or organization.
Recommendations are a
core-set of resources that
are selected and
recommended by a funder
or journal data policy.
Grouping records for different use cases
“BioSharing and its interactive browser will allow us to
discover which databases and standards are not currently
included in our author guidelines, enabling us to regularly
monitor and refine our policies as appropriate, in support of
our mission to help our authors enhance the reproducibility
of their work.” – Holly Murray, F1000Research
Advisory Board Operational Team

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The Diversity of Biomedical Data, Databases and Standards (Research Data Alliance (RDA) 8th plenary)

  • 1. The Diversity of Biomedical Data, Databases and Standards Peter McQuilton BioSharing Content Lead https://www.biosharing.org @biosharing IG Elixir Bridging Force, WG Biosharing Registry,WG Data Type Registries,WG Metadata Standards Catalog International Data Week, RDA, Denver, 15th September, 2016
  • 2. A growth in data, a growth in databases, a growth in standards Number of databases in the NAR database issue, up to 2015 (from @AlexBateman1)
  • 3. • Data/content standards: • Structure, enrich and report the description of the datasets and the experimental context under which they were produced • Facilitate the discovery, sharing, understanding and reuse of datasets • ensure all digital research outputs are Findable, Accessible, Interoperable and Reusable (FAIR) Data has to be structured for sharing – we need standards
  • 4. Content standards – enablers Formats Terminologies Guidelines Minimum information reporting requirements, checklists o Report the same core, essential information o e.g. MIAME guidelines Controlled vocabularies, taxonomies, thesauri, ontologies etc. o Use the same word and refer to the same ‘thing’ o e.g. Gene Ontology Conceptual model, conceptual schema, exchange formats etc o Allow data to flow from one system to another o e.g. FASTA
  • 5. de jure de facto grass-roots groups standard organizations Nanotechnology Working Group Over 700 content standards in biomedical sciences 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 Formats Terminologies Guidelines …….... …….... ……....
  • 6. Technologically-focused content standards Biologically-focused content standards Even if common features exists, e.g.: - description of source biomaterial - experimental design components these are inconsistently duplicated Arrays Scanning Arrays & Scanning Columns Gels MS MS FTIR NMR transcriptomics proteomics metabolomics plant biology epidemiology microbiology Diversity in Standards
  • 7. What is BioSharing? A web-based, curated and searchable portal that monitors the development and evolution of standards, their use in databases and the adoption of both in data policies, to inform and educate the user community.
  • 8. What is BioSharing? Standards are digital objects too and we make them FAIR
  • 9. Data policies by funders, journals and other organizations (>100) Database, tools and services (>1000) Content standards (>700) Complex and evolving landscape Formats Terminologies Guidelines
  • 10. Working with and for the community
  • 11. NCBI Taxon ~1400 tags Some hierarchy Synonyms 4 axes – - Process - Material - Datatype - Property What data do we capture?
  • 12. Collections group together one or more types of resource by domain, project or organization. Recommendations are a core-set of resources that are selected and recommended by a funder or journal data policy. Grouping records for different use cases
  • 13.
  • 14.
  • 15.
  • 16. “BioSharing and its interactive browser will allow us to discover which databases and standards are not currently included in our author guidelines, enabling us to regularly monitor and refine our policies as appropriate, in support of our mission to help our authors enhance the reproducibility of their work.” – Holly Murray, F1000Research

Editor's Notes

  1. More data More interest in accessing/reusing that data Greater need to structure and store the data We need to map the landscape Repositories Standards
  2. Tricky to integrate data for example medical experts may be interested in microbiology – do they share standards? Middle: If standards developed with common elements shared across disciplines and some standards should be across technologies (e.g. array)
  3. NOT GOING TO TALK ABOUT FUNCTIONALITY - SEARCHING ETC.
  4. Different stakeholders have different questions
  5. Recommendations based on a 3rd party policy document
  6. Mention emma by name as PLOS data policy manager This is the educational side