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Characteristics of the current local government data reporting landscape

Phase 1 of this project undertook a comprehensive mapping of the current data reporting landscape for local government. This reveals a clear picture of the current reporting that councils are required to produce for external stakeholders. The mapping will be pivotal in helping assess the policy relevance of the data currently collected, and to inform where there is duplication and where there may be opportunities to work together to streamline and reduce existing collections. It will also provide a valuable resource to promote greater use and re-use of the data that is currently collected.

The two infographics below summarise the findings:

The Local Government Data Reporting Landscape
Calendar of data returns
Calendar of data returns, which shows when data returns are due throughout the year. Busiest months are March, June, September and December, mainly due to some returns being collected quarterly.

Our analysis of current data reporting activity reveals the scale of the reporting burden currently facing local government and exposes a landscape which is data rich, but insight poor. The sheer volume of current data requests is undermining both our confidence in the quality of data returned, and also our ability to derive useful insights and use the available data effectively to inform evidence-based decision making. An ever-greater capacity is required to service these commitments, leaving less resource to undertake the value-added work of analysis, interpretation and use. In addition, the cost of producing this volume of data is unnecessarily high and will only keep growing.

Improving governance

To ensure more effective use of data and improve our ability to generate useful insights, a collective commitment is needed to reduce current reporting activity and keep only the data that is relevant and useful. A governance mechanism is required to support local government and Scottish Government to work together, and with other sector partners, to develop a shared understanding and ambition.

To assist with this, this project has produced the following outputs:

Joseph Gavart - Project Manager, Data and Intelligence
Emily Lynch - Programme Manager, Performance Management & Benchmarking