DC Element | Wert | Sprache |
dc.contributor.author | Moore, J. | |
dc.contributor.author | Kobayashi, N. | |
dc.contributor.author | Kunis, S. | |
dc.contributor.author | Onami, S. | |
dc.contributor.author | Swedlow, J.R. | |
dc.contributor.author | the OME Consortium | |
dc.contributor.editor | Cornet, R. | |
dc.contributor.editor | Waagmeester, A. | |
dc.date.accessioned | 2021-12-23T16:33:29Z | - |
dc.date.available | 2021-12-23T16:33:29Z | - |
dc.date.issued | 2019 | |
dc.identifier.issn | 16130073 | |
dc.identifier.uri | https://osnascholar.ub.uni-osnabrueck.de/handle/unios/17717 | - |
dc.description | 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 | |
dc.description.abstract | 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). | |
dc.description.sponsorship | Core 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.iso | en | |
dc.publisher | CEUR-WS | |
dc.relation.ispartof | CEUR Workshop Proceedings | |
dc.subject | Bioimaging | |
dc.subject | Collaborative representations | |
dc.subject | Digital storage | |
dc.subject | Domain model | |
dc.subject | FAIR data principles | |
dc.subject | Health care | |
dc.subject | Linked open data | |
dc.subject | Open Data, Bio-imaging | |
dc.subject | Research communities | |
dc.subject | Semantic framework | |
dc.subject | Versioning | |
dc.subject | XML schemas, Semantic Web | |
dc.title | On bringing bioimaging data into the open (World) | |
dc.type | conference paper | |
dc.identifier.scopus | 2-s2.0-85104041488 | |
dc.identifier.url | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104041488&partnerID=40&md5=f2aad16af93a8c05b81e774e344f3cf4 | |
dc.description.volume | 2849 | |
dc.description.startpage | 44 | |
dc.description.endpage | 53 | |
dcterms.isPartOf.abbreviation | CEUR Workshop Proc. | |
crisitem.author.dept | FB 06 - Mathematik/Informatik | - |
crisitem.author.deptid | fb06 | - |
crisitem.author.parentorg | Universität Osnabrück | - |
crisitem.author.netid | KuSt212 | - |