Data quality and governance in a UK social housing initiative: Implications for smart sustainable cities

作者：Duvier Caroline^*; Anand P B; Oltean Dumbrava Crina

来源：Sustainable Cities and Society, 2018, 39: 358-365.

DOI：10.1016/j.scs.2018.02.015

• Data quality
• Data interoperability
• Social housing
• Smart sustainable cities
• Business intelligence

Smart Sustainable Cities (SSC) consist of multiple stakeholders, who must cooperate in order for SSCs to be successful. Housing is an important challenge and in many cities, therefore, a key stakeholder are social housing organisations. This paper introduces a qualitative case study of a social housing provider in the UK who implemented a business intelligence project (a method to assess data networks within an organisation) to increase data quality and data interoperability. Our analysis suggests that creating pathways for different information systems within an organisation to 'talk to' each other is the first step. Some of the issues during the project implementation include the lack of training and development, organisational reluctance to change, and the lack of a project plan. The challenges faced by the organisation during this project can be helpful for those implementing SSCs. Currently, many SSC frameworks and models exist, yet most seem to neglect localised challenges faced by the different stakeholders. This paper hopes to help bridge this gap in the SSC research agenda.

• 出版日期2018-5