Towards an Open Infrastructure for Relating Scholarly Assets.
Discovery of useful relationships between scholarly assets on the web is challenging, both in terms generating the right metadata around the assets, and in connecting all relevant digital entities in chain of provenance accessible to the whole community. This paper reports the development of a frame...
| Publicado en: | Studies in Health Technology & Informatics Vol. 235; pp. 491 - 496 |
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| Autores principales: | , , , , |
| Formato: | pictorial research Journal Article |
| Publicado: |
Sage Publications Inc.
2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=123564018&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 123564018 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09269630 U1V jtl: Studies in Health Technology & Informatics issn: 09269630 maglogo: N pubinfo: dt: 2017 vid: 235 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 123564018 123564018 123564018 10.3233/978-1-61499-753-5-491 123564018 ppf: 491 ppct: 5 formats: tig: atl: Towards an Open Infrastructure for Relating Scholarly Assets. aug: au: MUNRO, Christopher COUCH, Philip JOHNSON, Jon AINSWORTH, John BUCHAN, Iain affil: Health eResearch Centre, Division of Informatics, Imaging, and Data Sciences, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, UK sug: subj: Informatics Metadata Research Data Management Documentation United Kingdom ab: Discovery of useful relationships between scholarly assets on the web is challenging, both in terms generating the right metadata around the assets, and in connecting all relevant digital entities in chain of provenance accessible to the whole community. This paper reports the development of a framework and tools enabling scholarly asset relationships to be expressed in a standard and open way, illustrated with use-cases of discovering new knowledge across cohort studies. The framework uses Research Objects for aggregation, distributed databases for storage, and distributed ledgers for provenance. Our proposal avoids management by a single central platform or organization, instead leveraging the use of existing resources and platforms across natural partnerships. Our proposed infrastructure will support a wide range of users from system administrators to researchers. pubtype: Academic Journal doctype: pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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