Abstract
In 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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
VOA3R (Virtual Open Access Agriculture & Aquaculture Repository), http://voa3r.eu
Diamantopoulos, N., Sgouropoulou, C., Kastrantas, K., Manouselis, N.: Developing a Metadata Application Profile for Sharing Agricultural Scientific and Scholarly Research Resources. In: GarcÃa-Barriocanal, E., Cebeci, Z., Okur, M.C., Öztürk, A. (eds.) MTSR 2011. CCIS, vol. 240, pp. 453–466. Springer, Heidelberg (2011)
Guidelines for Repository Implementers: 2.1 Dublin Core and Other Metadata Formats, http://www.openarchives.org/OAI/2.0/guidelines-repository.htm#MinimalImplementation-DC
DSpace, version 1.8.x. Functional Overview. Metadata, https://wiki.duraspace.org/display/DSDOC18/Functional+Overview#FunctionalOverview-Metadata
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
Bruce, T.R., Hillmann, D.: The Continuüm of Metadata Quality: Defining, Expressing, Exploiting. In: Metadata in Practice, pp. 238–256. ALA Editions, Chicago (2004)
Ochoa, X., Duval, E.: Automatic evaluation of metadata quality in digital repositories. Int. J. Digit. Libr. 10(2-3), 69 (2009)
Sicilia, M.A., Garcia, E., Pages, C., Martinez, J.J., Gutierrez, J.M.: Complete metadata records in learning object repositories: some evidence and requirements. Int. J. Learn. Technol. 1(4), 411–424 (2005)
Ochoa, X., Duval, E.: Automatic evaluation of metadata quality in digital repositories. Int. J. Digit. Libr. 10(2-3), 67–91 (2009), doi:10.1007/s00799-009-0054-4
OceanDocs, http://www.oceandocs.org
Egghe, L., Rousseau, R.: Elementary Statistics for Effective Library and Information Service Management, pp. 68–73. Aslib, London (2001)
Ochoa, Duval, E.: Automatic evaluation of metadata quality in digital repositories. Int. J. Digit. Libr. 10(2-3), 71 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Goovaerts, M., Leinders, D. (2012). Metadata Quality Evaluation of a Repository Based on a Sample Technique. In: Dodero, J.M., Palomo-Duarte, M., Karampiperis, P. (eds) Metadata and Semantics Research. MTSR 2012. Communications in Computer and Information Science, vol 343. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35233-1_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-35233-1_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35232-4
Online ISBN: 978-3-642-35233-1
eBook Packages: Computer ScienceComputer Science (R0)