Skip to main content

Approaches to Information Quality Management: State of the Practice of UK Asset-Intensive Organisations

  • Chapter
Asset Condition, Information Systems and Decision Models

Part of the book series: Engineering Asset Management Review ((EAMR))

Abstract

Maintaining good quality information is a difficult task, and many leading asset management (AM) organisations have difficulty planning and executing successful information quality management (IQM) practices. The aims of this work are, therefore, to understand how organisations approach IQM in the AM unit of their organisation, to highlight general trends in IQM, and to provide guidance on how organisations can improve IQM practices. Using the case study methodology, the current level of IQM maturity was benchmarked for ten organisations in the U.K. focussing on the AM unit of the organisation. By understanding how the most mature organisations approach the task of IQM, specific guidelines for how organisations with lower maturity levels can improve their IQM practices are presented. Five critical success factors from the IQM-CMM maturity model were identified as being significant for improving IQM maturity: information quality (IQ) management team and project management, IQ requirements analysis, IQ requirements management, information product visualisation and meta-information management.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  • Gao J, BaÅ¡karada S, Koronios A (2006) Agile maturity model approach to assessing and enhancing the quality of asset information in engineering asset management information systems. In: Proceedings of the 9th international conference on business information systems (BIS 2006), 31 May–2 June 2006, Klagenfurt, Austria, pp. 486–500.

    Google Scholar 

  • BaÅ¡karada S (2008) IQM-CMM: information quality management capability maturity model. PhD thesis, University of South Australia, Adelaide, South Australia.

    Google Scholar 

  • British Standards Institution (2004) Asset management: PAS 55-1: British Standards Institution.

    Google Scholar 

  • Ouertani MZ, Parlikad AK, McFarlane DC (2008) Towards an approach to select an asset information management strategy. Int J Comput Sci Appl 5:25–44.

    Google Scholar 

  • BaÅ¡karada S, Koronios A, Gao J (2006) Towards a capability maturity model for information quality management: a TDQM approach. In: Proceedings of the 11th international conference on information quality (ICIQ-06), Cambridge, MA, 10–12 November 2006.

    Google Scholar 

  • Eppler MJ (2000) Conceptualizing information quality: a review of information quality frameworks from the last ten years. In: Proceedings of the 5th international conference on information quality, Cambridge, MA, pp. 83–96.

    Google Scholar 

  • Juran JM (1974) Quality control handbook. McGraw-Hill, New York.

    Google Scholar 

  • Wang R, Strong D (1996) Beyond accuracy: what data quality means to data consumers. J Manage Inf Syst 12:5–34.

    MATH  Google Scholar 

  • Strong D, Lee YW, Wang R (1997) 10 potholes in the road to information quality. IEEE Comput 30:38–46.

    Article  Google Scholar 

  • Lin S, Gao J, Koronios A (2006) Key data quality issues for enterprise asset management in engineering organisations. Int J Electron Bus 4:96–110.

    Google Scholar 

  • English L (1999) Improving Data warehouse and business information quality: methods for reducing costs and increasing profits. Wiley, New York.

    Google Scholar 

  • Kahn B, Strong D, Wang R (2002) Information quality benchmarks: product and service performance. Commun ACM 45:84–192.

    Article  Google Scholar 

  • Al-Hakim L (2007) Information quality management: theory and applications. IGI Global, Hershey, PA.

    Google Scholar 

  • Redman T (1996) Why care about data quality? In: Data Quality for the Information Age. Artech House, Boston.

    Google Scholar 

  • Batini C, Cappiello C, Francalanci C, Maurino A (2009) Methodologies for Data Quality Assessment and Improvement. ACM Comput Surv 41:1–52.

    Article  Google Scholar 

  • English L (2002) The essentials of information quality management. Information Management Magazine, 1 September 2002. http://www.information-management.com/issues/20020901/5690-1.html

    Google Scholar 

  • Ge M, Helfert M (2007) A review of information quality research. In: Proceedings of the 12th international conference on information quality, 9–11 November 2007, Cambridge, MA.

    Google Scholar 

  • Levis M, Helfert M, Brady M (2007) Information quality management: review of an evolving research area. In: Proceedings of the 12th international conference on information quality, 9–11 November 2007, Cambridge, MA.

    Google Scholar 

  • Ruževièius J, Gedminaitë A (2007) Business information quality and its assessment. Eng Econ 2:18–25.

    Google Scholar 

  • DataFlux (2008) The Data Governance Maturity Model. http://www.dataflux.com/DataFlux-Approach/Data-Governance-Maturity-Model.aspx

    Google Scholar 

  • Ryu K, Park J, Park J (2006) A data quality management maturity model. ETRI J 28:191–204.

    Article  Google Scholar 

  • Institute of Asset Management (2009) Asset information guidelines – guidelines for the management of asset information. Woodlands Grange, UK.

    Google Scholar 

  • Délez T, Hostettler D (2006) Information quality: a business-led approach. In: Proceedings of the 11th international conference on information quality, Cambridge, MA, 10–12 November 2006.

    Google Scholar 

  • Caballero I, Caro A, Calero C, Piattini M (2008) IQM3: information quality management maturity model. J Universal Comput Sci 14:3658–3685.

    Google Scholar 

  • Baxter P, Jack S (2008) Qualitative case study methodology: study design and implementation for novice researchers. Qual Rep 13:544–559.

    Google Scholar 

  • Fowler FJ (1993) Survey research methods, 2nd edn. Sage, Thousand Oaks, CA.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag London Limited

About this chapter

Cite this chapter

Woodall, P., Parlikad, A.K., Lebrun, L. (2012). Approaches to Information Quality Management: State of the Practice of UK Asset-Intensive Organisations. In: Amadi-Echendu, J., Willett, R., Brown, K., Mathew, J. (eds) Asset Condition, Information Systems and Decision Models. Engineering Asset Management Review. Springer, London. https://doi.org/10.1007/978-1-4471-2924-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-2924-0_1

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2923-3

  • Online ISBN: 978-1-4471-2924-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics