On bringing bioimaging data into the open (World)

Josh Moore, Norio Kobayashi, Susanne Kunis, Shuichi Onami, Jason R. Swedlow,

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)
20 Downloads (Pure)


For over 15 years, the Open Microscopy Environment (OME) Data Model has provided a basis for the storage, exchange and re-use of bioimaging data. During that time, XML Schema and XSL Transformations have provided a reliable mechanism to support the yearly updates to the model, keeping valuable data accessible by the research community. However, the acceleration of developments in the bioimaging domain now demand a more flexible, collaborative representation without the loss of versioning control. The OME Consortium proposes to adopt the semantic web stack for a next generation of data formats.

Original languageEnglish
Article number6
Pages (from-to)44-53
Number of pages10
JournalCEUR Workshop Proceedings
Publication statusPublished - 2019
Event12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2019 - Edinburgh, United Kingdom
Duration: 10 Dec 201911 Dec 2019


  • Bioimaging
  • Domain model
  • FAIR data principles
  • Linked open data
  • Semantic framework

ASJC Scopus subject areas

  • General Computer Science


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