Skip to main content

Metadata Quality Assessment Tool for Open Access Cultural Heritage Institutional Repositories

  • Conference paper
Information Technologies for Performing Arts, Media Access, and Entertainment (ECLAP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7990))

Abstract

Currently, the Metadata Quality in Cultural Heritage Institutional Repositories (IR) is an open issue. In fact, sometimes the value of the metadata fields contains typos, are out of standards, or are totally missing affecting the possibility of searching, discovering and obtaining the digital resource described. Goal of this work is to support institutions to assess the quality of their repository defining a Quality Profile for their metadata schema (e.g. Dublin core) and identifying the Completeness, Accuracy and Consistency as High level metrics. These metrics are translated in a number of computable Low level metrics (formulas) and measurement criteria. The quality measurement process has been implemented exploiting the Grid based AXMEDIS infrastructure to rise up the OAI-PMH harvesting and metadata processing performance. The quality profile metrics and the prototype have been tested on three Open Access Institution Repositories of Italian universities and the evaluation results are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Guy, M., Powell, A., Day, M.: Improving the Quality of Metadata in Eprint Archive. ARIADNE (38) (January 2004), http://www.ariadne.ac.uk/issue38/guy

  2. Evans, Lindsay: The management of quality control, 6th edn. Mason, OH Thompson

    Google Scholar 

  3. Margaritopoulos, T., Margaritopoulos, M., Mavridis, I., Manitsaris, A.: A conceptual framework for metadata quality assessment. In: Proceedings of the 2008 International Conference on Dublin Core and Metadata Application, DCMI 2008 (2008)

    Google Scholar 

  4. Jane, B., Sarah, C., Hey Jessie, M.N.: Building quality assurance into metadata creation: an analysis based on the learning objects and e-prints communities of practice. In: Proceedings 2003 Dublin Core Conference, Seattle, Washington, USA, September 28-October 2, pp. 39–48. Information Institute of Syracuse, NY (2003)

    Google Scholar 

  5. ISO 14721:2003 Reference Model for an Open Archival Information System (OAIS)

    Google Scholar 

  6. Park, J.-R.: Metadata quality in digital repositories: A survey of the current state of the art. Cataloging & Classification Quarterly 47(3-4), 213–228 (2009)

    Article  Google Scholar 

  7. Bellini, P., Bruno, I., Cenni, D., Nesi, P.: Micro grids for scalable media computing and intelligence on distributed scenarious. IEEE Multimedia 19(2), 69–79 (2012)

    Article  Google Scholar 

  8. IFLA - Functional Requirements for Bibliographic Records FRBR, Final Report (1998), http://archive.ifla.org/VII/s13/frbr/frbr1.htm

  9. Emanuele, B., Aime, D.M., Paolo, N.: Assessing Open Archive OAI-PMH implementations. DMS (2010)

    Google Scholar 

  10. Bui, Y., Park, J.-R.: An assessment of metadata quality: A case study of the National Science Digital Library Metadata Repository, IST Research Day (2006)

    Google Scholar 

  11. Miles, E.: Metadata Use in OAI-Compliant Institutional Repositories. J. Digit. Inf. 8(2) (2007)

    Google Scholar 

  12. Gudrun, F., Norbert, F.: Heterogeneity in Open Archives Metadata-Cyclades project

    Google Scholar 

  13. Xavier, O., Erik, D.: Towards Automatic Evaluation of Metadata Quality in Digital Repositories, http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.8371

  14. Strong, D.M., Lee, Y.W., Wang, R.Y.: Data quality in context. Communications of the ACM 40(5), 103–110 (1997)

    Article  Google Scholar 

  15. Zhu, X., Gauch, S.: Incorporating quality metrics in centralized/distributed information retrieval on the world wide web. In: Research and Development in Information Retrieval, pp. 288–295 (2000)

    Google Scholar 

  16. Jura, J.: Juran on quality by design. Free Press, New York (1992)

    Google Scholar 

  17. NISO A Framework of Guidance for Building Good Digital Collections, pp. 61–62. NISO Press, Bethesda (2007)

    Google Scholar 

  18. Stvilia: Measuring Information Quality Dissertation – Urbana- Illinois (2006)

    Google Scholar 

  19. Moen, W.E., Stewart, E.L., McClure, C.R.: Assessing metadata quality: Findings and methodological considerations from an evaluation of the u.s. government information locator service (gils). In: Smith, T.R. (ed.) ADL 1998: Proceedings of the Advances in Digital Libraries Conference, pp. 246–255 (1998)

    Google Scholar 

  20. Stvilia, B., Gasser, L., Twidale, M.: A framework for information quality assessment. Journal of the American Society for Information Science and Technology 58(12), 1720–1733 (2007)

    Article  Google Scholar 

  21. Bruce, T.R., Hillmann, D.: The continuum of metadata quality: defining, expressing, exploiting. In: Metadata in Practice, pp. 238–256. ALA Editions, Chicago (2004)

    Google Scholar 

  22. Basili, V.R., Caldiera, G., Rombach, H.D.: The goal question metric approach. In: Encynclopedia of Software Engineering. Wiley (1994)

    Google Scholar 

  23. Van Solingen, R., Egon, B.: The Goal/question/Metric Method: a practical guide for quality improvment of software development – The Mcgraw-Hill Companies ISBN0077095537

    Google Scholar 

  24. Baba, P., Denise, E.: A Model for Data Quality Assessment

    Google Scholar 

  25. IETF RFC 2045 Multipurpose Internet Mail Extensions (MIME) (1996)

    Google Scholar 

  26. David, Z.: Can you trust your data? Measurement and Analysis Infrastructure Diagnosis 2007 SEI

    Google Scholar 

  27. ISO/IEC IS 15939, Software Engineering – Software Measurement Process (2002)

    Google Scholar 

  28. Patrik, B., Per, J.: A Goal Question Metric Based Approach for Efficient Measurement Framework Definition. In: International Symposium of Empirical Software Engineering (ISESE 2006), Rio de janeiro Brazil (2006)

    Google Scholar 

  29. Carl, L., Herbert, Nelson, M.: Implementing Guidelines for the Open Archives Initiative for Metadata Harvesting: Guidelines for Harvesting Implementes (2002)

    Google Scholar 

  30. Bellini, P., Bruno, I., Nesi, P.: Visual Programming of Content Processing Grid. In: The 15th International Conference on Distributed Multimedia Systems, DMS 2009 (2009)

    Google Scholar 

  31. Liolios, K., Schriml, L., Hirschman, L., Pagani, I., Nosrat, B., Sterk, P., White, O., Rocca-Serra, P., Sansone, S.-A., Taylor, C., Kyrpides, N.C., Field, D.: The Metadata Coverage Index (MCI): A standardized metric for quantifying database metadata richness. An Open Access Journal of Genomic Standard Consortium SIGS, http://standardsingenomics.org/index.php/sigen/article/view/sigs.2645953/717

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bellini, E., Nesi, P. (2013). Metadata Quality Assessment Tool for Open Access Cultural Heritage Institutional Repositories. In: Nesi, P., Santucci, R. (eds) Information Technologies for Performing Arts, Media Access, and Entertainment. ECLAP 2013. Lecture Notes in Computer Science, vol 7990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40050-6_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40050-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40049-0

  • Online ISBN: 978-3-642-40050-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics