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Towards an extensible measurement of metadata quality

Published: 01 June 2017 Publication History

Abstract

This paper describes the structure of an extensible metadata quality assessment framework, which supports multiple metadata schemas, and is flexible enough to work with new schemas. The software has to be scalable to be able to process huge amount of metadata records within a reasonable time. Fundamental requirements that need to be considered during the design of such a software are i) the abstraction of the metadata schema (in the context of the measurement process), ii) how to address distinct parts within metadata records, iii) the workflow of the measurement, iv) a common and powerful interface for the individual metrics, and v) interoperability with Java and REST APIs.

References

[1]
Thomas R. Bruce and Diane I. Hillmann. 2004. The Continuum of Metadata Quality: Defining, Expressing, Exploiting. In Metadata in practice, D. Hillman and E. Westbrooks (Eds.). ALA Editions, 238--256. http://ecommons.cornell.edu/handle/1813/7895
[2]
Dimitris Gavrilis, Dimitra-Nefeli Makri, Leonidas Papachristopoulos, Stavros Angelis, Konstantinos Kravvaritis, Christos Papatheodorou, and Panos Constantopoulos. 2015. Measuring Quality in Metadata Repositories. In Proceedings from the 19th International Conference on Theory and Practice of Digital Libraries, S. Kapidakis, C. Mazurek, and M. Werla (Eds.). Springer, 56--67. https://doi.org/10.1007/978-3-319-24592-8_5
[3]
Xavier Ochoa and Erik Duval. 2009. Automatic Evaluation of Metadata Quality in Digital Repositories. International Journal on Digital Libraries 10, 2--3 (2009), 67--91. https://doi.org/10.1145/161468.161471
[4]
Juliane Stiller and Péter Király. 2017. Multilinguality of Metadata. Measuring the Multilingual Degree of Europeana's Metadata. In Everything Changes, Everything Stays the Same? Understanding Information Spaces. Proceedings of the 15th International Symposium of Information Science (ISI 2017) (Schriften zur Informationswissenschaft), M. Gäde, V. Trkulja, and V. Petras (Eds.). Verlag Werner Hülsbusch, 164--176. https://www.researchgate.net/publication/314879735_Multilinguality_of_Metadata_Measuring_the_Multilingual_Degree_of_Europeana%27s_Metadata
[5]
Osma Suominen and Eero Hyvönen. 2012. Improving the Quality of SKOS Vocabularies with Skosify. In Knowledge Engineering and Knowledge Management: 18th International Conference, EKAW 2012, Galway City, Ireland, October 8-12, 2012. (Lecture Notes in Computer Science), Annette ten Teije (Ed.), Vol. 7603. Springer, 383--397. https://doi.org/10.1007/978-3-642-33876-2_34

Cited By

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  • (2024)Modelo de autoria de metadadosModelo de autoría de metadatosMetadata authoring modelInformação & Informação10.5433/1981-8920.2023v28n4p128:4(1-37)Online publication date: 28-Sep-2024
  • (2024)Exploring dimensions of metadata quality assessment: A scoping reviewJournal of Librarianship and Information Science10.1177/09610006241239080Online publication date: 24-Mar-2024
  • (2022)Metadata Quality for BiobanksApplied Sciences10.3390/app1219957812:19(9578)Online publication date: 23-Sep-2022
  • Show More Cited By

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DATeCH2017: Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage
June 2017
179 pages
ISBN:9781450352659
DOI:10.1145/3078081
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2017

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Author Tags

  1. REST API
  2. big data
  3. design patterns
  4. metadata quality

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  • Research-article
  • Research
  • Refereed limited

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DATeCH2017

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DATeCH2017 Paper Acceptance Rate 29 of 37 submissions, 78%;
Overall Acceptance Rate 60 of 86 submissions, 70%

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Cited By

View all
  • (2024)Modelo de autoria de metadadosModelo de autoría de metadatosMetadata authoring modelInformação & Informação10.5433/1981-8920.2023v28n4p128:4(1-37)Online publication date: 28-Sep-2024
  • (2024)Exploring dimensions of metadata quality assessment: A scoping reviewJournal of Librarianship and Information Science10.1177/09610006241239080Online publication date: 24-Mar-2024
  • (2022)Metadata Quality for BiobanksApplied Sciences10.3390/app1219957812:19(9578)Online publication date: 23-Sep-2022
  • (2022)A Shape Expression approach for assessing the quality of Linked Open Data in librariesSemantic Web10.3233/SW-21044114:2(159-179)Online publication date: 15-Dec-2022
  • (2022)Metadata Quality in the Era of Big Data and Unstructured ContentAdvances in Information, Communication and Cybersecurity10.1007/978-3-030-91738-8_11(110-121)Online publication date: 12-Jan-2022
  • (2018)Measuring completeness as metadata quality metric in Europeana2018 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2018.8622487(2711-2720)Online publication date: Dec-2018

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