Understanding Information Professionals: A Survey on the Quality of Linked Data Sources for Digital Libraries

  • Jeremy DebattistaEmail author
  • Lucy McKenna
  • Rob Brennan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11230)


In this paper we provide an in-depth analysis of a survey related to Information Professionals (IPs) experiences with Linked Data quality. We discuss and highlight shortcomings in linked data sources following a survey related to the quality issues IPs find when using such sources for their daily tasks such as metadata creation.


Metadata quality Digital libraries Linked Data 


  1. 1.
    Debattista, J., Lange, C., Auer, S., Cortis, D.: Evaluating the quality of the LOD cloud: an empirical investigation. Semantic Web, November 2017 (to appear)Google Scholar
  2. 2.
    Gonçalves, M.A., Moreira, B.L., Fox, E.A., Watson, L.T.: “What is a good digital library?” - a quality model for digital libraries. Inf. Process. Manag. 43(5), 1416–1437 (2007)CrossRefGoogle Scholar
  3. 3.
    Heath, T., Bizer, C.: Linked Data: Evolving the Web into a Global Data Space, 1st edn. Morgan & Claypool, San Rafael (2011)Google Scholar
  4. 4.
    Lóscio, B.F., Burle, C., Calegari, N.: Data on the web best practices. W3C recommendation, World Wide Web Consortium, January 2017.
  5. 5.
    McKenna, L., Debruyne, C., O’Sullivan, D.: Understanding the position of information professionals with regards to linked data: a survey of libraries, archives and museums. In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries (JCDL 2018), Fort Worth, Texas, USA, pp. 7–16 (2018)Google Scholar
  6. 6.
    Park, J.R.: Metadata quality in digital repositories: a survey of the current state of the art. Cat. Classif. Q. 47(3–4), 213–228 (2009)Google Scholar
  7. 7.
    Tani, A., Candela, L., Castelli, D.: Dealing with metadata quality: the legacy of digital library efforts. Inf. Process. Manag. 49(6), 1194–1205 (2013). Scholar
  8. 8.
    Yoshimura, K.S.: Analysis of an international linked data survey for implementers. D-Lib Mag. 22(7), 6 (2016)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.ADAPT Centre, School of Computer Science and StatisticsTrinity College DublinDublinIreland

Personalised recommendations