On bringing bioimaging data into the open (World)
| Autor(en): | Moore, J. Kobayashi, N. Kunis, S. Onami, S. Swedlow, J.R. the OME Consortium |
Herausgeber: | Cornet, R. Waagmeester, A. |
Stichwörter: | Bioimaging; Collaborative representations; Digital storage; Domain model; FAIR data principles; Health care; Linked open data; Open Data, Bio-imaging; Research communities; Semantic framework; Versioning; XML schemas, Semantic Web | Erscheinungsdatum: | 2019 | Herausgeber: | CEUR-WS | Journal: | CEUR Workshop Proceedings | Volumen: | 2849 | Startseite: | 44 | Seitenende: | 53 | Zusammenfassung: | 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. Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
Beschreibung: | Conference of 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, SWAT4HCLS 2019 ; Conference Date: 10 December 2019 Through 11 December 2019; Conference Code:168303 |
ISSN: | 16130073 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104041488&partnerID=40&md5=f2aad16af93a8c05b81e774e344f3cf4 |
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