Metadata in research data Australia and the open provenance model: a proposed mapping

Mingfang Wu, Andrew Treloar

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

Abstract

Research Data Australia (RDA) is a flagship data discovery service provided by Australian National Data Service (ANDS). RDA consists of two major components: a collection registry component that harvests metadata from a range of data providers and a data discovery component that makes metadata visible and searchable over the web. Metadata maintained at RDA are encoded according to the RIF-CS (Registry Interchange Format - Collections and Services) schema. RIF-CS is based on an international standard information model ISO2146:2010 that contains descriptive and administrative metadata for collections and related services, parties (people and organisations) and activities, and also supports the expression of relationships between those entities. In the past, metadata ingested to the RDA registry have had a focus on metadata describing data collections once created, and less on the data provenance describing how a data collection came to be. As data provenance has been gaining increasing importance in areas such as data intensive research and policy making, more and more data providers intend to capture and publish data provenance information in order to enhance data's trustfulness and reproducibility. ANDS partners are at different maturity stages in implementing systems to capture, represent and publish data provenance information. In terms of provenance representation, some data providers may conform to the W3C recommended provenance data model (PROV-DM), some may use a discipline specific data model which may or may not conform to a community endorsed standard, and others may use just free text. This paper compares the RIF-CS data model with PROV-DM and suggests a mapping between RIF-CS schema and the W3C recommended provenance ontology (PROV-O). The paper also discusses how one might go about linking provenance to RIF-CS records. This work will help to derive PROV data from contextual rich RIF-CS records and thus promote awareness and adoption of data provenance by ANDS partners.

Original languageEnglish
Title of host publicationMODSIM2015, 21st International Congress on Modelling and Simulation
EditorsT. Weber, M. J. McPhee, R. S. Anderssen
Place of PublicationAustralia
PublisherModelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ)
Pages641-647
Number of pages7
Edition1st
ISBN (Electronic)9780987214355
Publication statusPublished - 2015
Externally publishedYes
EventInternational Congress on Modelling and Simulation 2015: Partnering with industry and the community for innovation and impact through modelling - Gold Coast Convention and Exhibition Centre, Broadbeach, Australia
Duration: 29 Nov 20154 Dec 2015
Conference number: 21st
https://web.archive.org/web/20150627050926/http://www.mssanz.org.au:80/modsim2015/
https://web.archive.org/web/20150626200712/http://mssanz.org.au:80/modsim2015/index.html

Conference

ConferenceInternational Congress on Modelling and Simulation 2015
Abbreviated titleMODSIM2015
CountryAustralia
CityBroadbeach
Period29/11/154/12/15
OtherThe 21st International Congress on Modelling and Simulation (MODSIM2015) was held at the Gold Coast Convention and Exhibition Centre, Broadbeach, Queensland, Australia from Sunday 29 November to Friday 4 December 2015.

It was held jointly with the 23rd National Conference of the Australian Society for Operations Research and the DSTO led Defence Operations Research Symposium (DORS 2015).

The theme for this event was Partnering with industry and the community for innovation and impact through modelling.

21st International Congress on Modelling and Simulation: Partnering with Industry and the Community for Innovation and Impact through Modelling, MODSIM 2015 - Held jointly with the 23rd National Conference of the Australian Society for Operations Research and the DSTO led Defence Operations Research Symposium, DORS 2015
Internet address

Keywords

  • Metadata
  • PROV-O
  • Provenance
  • Research Data Australia (RDA)
  • RIF-CS

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