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Data quality challenges in the UK social housing sector

Author

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  • Duvier, Caroline
  • Neagu, Daniel
  • Oltean-Dumbrava, Crina
  • Dickens, Dave

Abstract

The social housing sector has yet to realise the potential of high data quality. While other businesses, mainly in the private sector, reap the benefits of data quality, the social housing sector seems paralysed, as it is still struggling with recent government regulations and steep revenue reduction. This paper offers a succinct review of relevant literature on data quality and how it relates to social housing. The Housing and Development Board in Singapore offers a great example on how to integrate data quality initiatives in the social housing sector. Taking this example, the research presented in this paper is extrapolating cross-disciplinarily recommendations on how to implement data quality initiatives in social housing providers in the UK.

Suggested Citation

  • Duvier, Caroline & Neagu, Daniel & Oltean-Dumbrava, Crina & Dickens, Dave, 2018. "Data quality challenges in the UK social housing sector," International Journal of Information Management, Elsevier, vol. 38(1), pages 196-200.
    • Handle: RePEc:eee:ininma:v:38:y:2018:i:1:p:196-200
    DOI: 10.1016/j.ijinfomgt.2017.09.008
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    References listed on IDEAS

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    1. Kai M. Hüner & Andreas Schierning & Boris Otto & Hubert Österle, 2011. "Product data quality in supply chains: the case of Beiersdorf," Electronic Markets, Springer;IIM University of St. Gallen, vol. 21(2), pages 141-154, June.
    2. Palczewska, Anna & Fu, Xin & Trundle, Paul & Yang, Longzhi & Neagu, Daniel & Ridley, Mick & Travis, Kim, 2013. "Towards model governance in predictive toxicology," International Journal of Information Management, Elsevier, vol. 33(3), pages 567-582.
    3. Hazen, Benjamin T. & Boone, Christopher A. & Ezell, Jeremy D. & Jones-Farmer, L. Allison, 2014. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications," International Journal of Production Economics, Elsevier, vol. 154(C), pages 72-80.
    4. Sing What Tee & Paul L. Bowen & Peta Doyle & Fiona H. Rohde, 2007. "Factors influencing organizations to improve data quality in their information systems," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 47(2), pages 335-355, June.
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    Keywords

    Social housing; Data quality;

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