On bringing bioimaging data into the open (World)

DC ElementWertSprache
dc.contributor.authorMoore, J.
dc.contributor.authorKobayashi, N.
dc.contributor.authorKunis, S.
dc.contributor.authorOnami, S.
dc.contributor.authorSwedlow, J.R.
dc.contributor.authorthe OME Consortium
dc.contributor.editorCornet, R.
dc.contributor.editorWaagmeester, A.
dc.date.accessioned2021-12-23T16:33:29Z-
dc.date.available2021-12-23T16:33:29Z-
dc.date.issued2019
dc.identifier.issn16130073
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/17717-
dc.descriptionConference 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
dc.description.abstractFor 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).
dc.description.sponsorshipCore Research for Evolutional Science and TechnologyCore Research for Evolutional Science and Technology,CREST; NK was supported by JSPS KAKENHI (17K00434, 17K00424, 18K19766). SK was supported by the Deutsche Forschungsgemeinschaft (SFB944-INF). SO was supported by Core Research for Evolutionary Science and Technology (JST-CREST) (JPMJCR1511). Work on OME by JM and JRS is supported by awards from the BBSRC (BB/R015384/1) and the Wellcome Trust (212962/Z/18/Z).; Global Open Data for Agriculture and Nutrition; Godan
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.ispartofCEUR Workshop Proceedings
dc.subjectBioimaging
dc.subjectCollaborative representations
dc.subjectDigital storage
dc.subjectDomain model
dc.subjectFAIR data principles
dc.subjectHealth care
dc.subjectLinked open data
dc.subjectOpen Data, Bio-imaging
dc.subjectResearch communities
dc.subjectSemantic framework
dc.subjectVersioning
dc.subjectXML schemas, Semantic Web
dc.titleOn bringing bioimaging data into the open (World)
dc.typeconference paper
dc.identifier.scopus2-s2.0-85104041488
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85104041488&partnerID=40&md5=f2aad16af93a8c05b81e774e344f3cf4
dc.description.volume2849
dc.description.startpage44
dc.description.endpage53
dcterms.isPartOf.abbreviationCEUR Workshop Proc.
crisitem.author.deptFB 06 - Mathematik/Informatik-
crisitem.author.deptidfb06-
crisitem.author.parentorgUniversität Osnabrück-
crisitem.author.netidKuSt212-
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