Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14457
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dc.contributor.authorGOOVAERTS, Marc-
dc.contributor.authorLEINDERS, Dirk-
dc.date.accessioned2012-12-14T10:03:53Z-
dc.date.available2012-12-14T10:03:53Z-
dc.date.issued2012-
dc.identifier.citationDodero, J.M.; Palomo-Duarte, M.; Karampiperis, P. (Ed.). Metadata and Semantic Research.6th Research Conference, MTSR 2012, p. 181-189-
dc.identifier.isbn978-3642-35232-4-
dc.identifier.issn1865-0929-
dc.identifier.urihttp://hdl.handle.net/1942/14457-
dc.description.abstractIn this paper, we evaluate the quality of the metadata of an OAI-compliant repository based on the completeness metric proposed by X. Ochoa and E. Duval. This study focuses on the completeness of the metadata records as defined by M.A. Sicilia et al, where machine-understandability is a mandatory requirement for completeness. The goal is to use the completeness metric as a tool for harvesters and repository managers to evaluate easily the quality of the metadata of a repository. We focus on the metadata used by the communities of agriculture, aquaculture and environment from the VOA3R project. The OceanDocs repository serves as a use case. The completeness metric is used on a sample of records from the repository. The paper concludes that in the opinion of the authors quality evaluation is not a global process, but depends on the context. The completeness metric have to be used on the specific elements, relevant for the specific community.-
dc.language.isoen-
dc.publisherSpringer-Verlag-
dc.relation.ispartofseriesCommunications in Computer and Information Science-
dc.rightsCopyright by Springer-
dc.subject.otherMetadata quality, Institutional repository, VOA3R, OceanDocs-
dc.titleMetadata quality evaluation of a repository based on a sample technique-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsDodero, J.M.-
local.bibliographicCitation.authorsPalomo-Duarte, M.-
local.bibliographicCitation.authorsKarampiperis, P.-
local.bibliographicCitation.conferencedateNovember 2012-
local.bibliographicCitation.conferencename6th Research Conference, MTSR 2012-
local.bibliographicCitation.conferenceplaceCadiz, Spain-
dc.identifier.epage189-
dc.identifier.spage181-
local.bibliographicCitation.jcatC1-
dc.description.notesPublication in the framework of the VOA3R project-
dc.relation.references1. VOA3R (Virtual Open Access Agriculture & Aquaculture Repository) - http://voa3r.eu 2. N. Diamantopoulos, C. Sgouropoulou, K. Kastrantas and N. Manouselis (2011). Develop-ing a Metadata Application Profile for Sharing Agricultural Scientific and Scholarly Re-search Resources. In Metadata and Semantic Research. (Communications in Computer and Information Science.,240), pp 453-466. (http://voa3r.confolio.org/scam/5/resource/15) 3. Guidelines for Repository Implementers: 2.1 Dublin Core and Other Metadata Formats -http://www.openarchives.org/OAI/2.0/guidelines-repository.htm#MinimalImplementation-DC 4. DSpace, version 1.8.x. Functional Overview. Metadata - https://wiki.duraspace.org/display/DSDOC18/Functional+Overview#FunctionalOverview-Metadata 5. The AGRIS Application Profile for the International Information System on Agricultural Sciences and Technology Guidelines on Best Practices for Information Object Description - http://www.fao.org/docrep/008/ae909e/ae909e00.htm 6. T.R. Bruce & D. Hillmann (2004). The ContinuĆ¼m of Metadata Quality: Defining, Ex-pressing, Exploiting. In Metadata in practice. Chicago, ALA Editions. pp. 238-256. 7. X. Ochoa & E. Duval (2009). Automatic evaluation of metadata quality in digital reposito-ries. In Int. J. Digit. Libr., 10, (2-3), p. 69 8. M.A. Sicilia, E. Garcia, C. Pages, J.J. Martinez, and J.M. Gutierrez. 2005. Complete meta-data records in learning object repositories: some evidence and requirements. Int. J. Learn. Technol. 1, 4 (May 2005), 411-424. 9. X. Ochoa & E. Duval (2009). Automatic evaluation of metadata quality in digital reposito-ries. In Int. J. Digit. Libr., 10, (2-3), p. 67-91, DOI: 10.1007/s00799-009-0054-4 10. OceanDocs - http://www.oceandocs.org 11. L. Egghe & R. Rousseau (2001). Elementary Statistics for Effective Library and Information Service Management. London, Aslib. p. 68-73. 12. Ochoa & E. Duval (2009), Automatic evaluation of metadata quality in digital repositories. In Int. J. Digit. Libr., 10, (2-3), p. 71-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr343-
dc.bibliographicCitation.oldjcatC2-
dc.identifier.doi10.1007/978-3-642-35233-1_19-
dc.identifier.isi000313598900019-
local.bibliographicCitation.btitleMetadata and Semantic Research.6th Research Conference, MTSR 2012-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
item.contributorGOOVAERTS, Marc-
item.contributorLEINDERS, Dirk-
item.fullcitationGOOVAERTS, Marc & LEINDERS, Dirk (2012) Metadata quality evaluation of a repository based on a sample technique. In: Dodero, J.M.; Palomo-Duarte, M.; Karampiperis, P. (Ed.). Metadata and Semantic Research.6th Research Conference, MTSR 2012, p. 181-189.-
item.validationecoom 2014-
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