Why We Need a Reference Architecture for Research Data

Abramson, D; Betbeder-Matibet, L; Bird, S; Carroll, J; Francis, R; Goscinski, W; Soo, A-L; Swan, G; Walsh, C; Wightwick, G; Wilkinson, JM

Why We Need a Reference Architecture for Research Data

Abramson, D Betbeder-Matibet, L Bird, S Carroll, J Francis, R Goscinski, W Soo, A-L Swan, G Walsh, C Wightwick, G

Wilkinson, JM

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2023 IEEE 19th International Conference on e-Science (e-Science), 2023, 00, pp. 1-4
Issue Date:: 2023-09-25

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Field	Value	Language
dc.contributor.author	Abramson, D
dc.contributor.author	Betbeder-Matibet, L
dc.contributor.author	Bird, S
dc.contributor.author	Carroll, J
dc.contributor.author	Francis, R
dc.contributor.author	Goscinski, W
dc.contributor.author	Soo, A-L
dc.contributor.author	Swan, G
dc.contributor.author	Walsh, C
dc.contributor.author	Wightwick, G https://orcid.org/0000-0001-6441-3179
dc.contributor.author	Wilkinson, JM
dc.date	2023-10-09
dc.date.accessioned	2024-05-13T01:38:41Z
dc.date.available	2024-05-13T01:38:41Z
dc.date.issued	2023-09-25
dc.identifier.citation	2023 IEEE 19th International Conference on e-Science (e-Science), 2023, 00, pp. 1-4
dc.identifier.isbn	9798350322231
dc.identifier.uri	http://hdl.handle.net/10453/178862
dc.description.abstract	There is little doubt that we have entered an era where data underpins modern science and research in general In support of this numerous infrastructures have been designed and built ranging from proprietary on prem systems through to distributed commercial clouds Such implementations provide a range of functions during the research lifecycle from provisioning and cataloguing data assets through to storing and presenting data to computing platforms In this paper we analyse the underlying principles of such systems and develop a high level Research Data Reference Architecture RDRA Specifically we identify eight key features of a RDRA that can guide the design construction and procurement of implementations without mandating any domain approach technical solution or product choice As a result it allows implementers to make local and commercial decisions while still meeting the core requirements of a research data management platform The intended audience is teams charged with implementing infrastructure in research organizations
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2023 IEEE 19th International Conference on e-Science (e-Science)
dc.relation.ispartof	2023 IEEE 19th International Conference on e-Science
dc.relation.isbasedon	10.1109/e-science58273.2023.10254825
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Why We Need a Reference Architecture for Research Data
dc.type	Conference Proceeding
utslib.citation.volume	00
utslib.location.activity	Limassol, Cyprus
pubs.organisational-group	University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2024-05-13T01:38:39Z
pubs.finish-date	2023-10-13
pubs.publication-status	Published
pubs.start-date	2023-10-09
pubs.volume	00

Abstract:

There is little doubt that we have entered an era where data underpins modern science and research in general In support of this numerous infrastructures have been designed and built ranging from proprietary on prem systems through to distributed commercial clouds Such implementations provide a range of functions during the research lifecycle from provisioning and cataloguing data assets through to storing and presenting data to computing platforms In this paper we analyse the underlying principles of such systems and develop a high level Research Data Reference Architecture RDRA Specifically we identify eight key features of a RDRA that can guide the design construction and procurement of implementations without mandating any domain approach technical solution or product choice As a result it allows implementers to make local and commercial decisions while still meeting the core requirements of a research data management platform The intended audience is teams charged with implementing infrastructure in research organizations

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http://hdl.handle.net/10453/178862