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United Kingdom Statistics and Open Data: An Early Example Neighbourhood Statistics Service

United Kingdom Statistics and Open Data: An Early Example Neighbourhood Statistics Service. Dev Virdee . Government Statistical Service (GSS). Open Data and the GSS as a provider: Statistician’s passion – data should be used, & used well

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United Kingdom Statistics and Open Data: An Early Example Neighbourhood Statistics Service

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  1. United KingdomStatistics and Open Data: An Early ExampleNeighbourhood Statistics Service Dev Virdee

  2. Government Statistical Service (GSS) • Open Data and the GSS as a provider: • Statistician’s passion – data should be used, & used well • GSS has history of making data available through Data Archive (anonymised) • Now provide data in many formats and to various types of user • From full datasets for expert users to headlines for citizens • Access in secure environments for academic researchers

  3. Government Statistical Service (GSS) • Open Data and the GSS as a user: • Statistician’s “dream” – access to multitude of data sources for developing statistics and creating knowledge • Surveys, censuses, administrative data • Challenges – privacy, data protection, disclosure control • Creation of biases – possible behavioral changes when data used for statistics and indicators • Metadata and statistical advice – what can and can’t we do with certain datasets

  4. Neighbourhood Statistics Website • Early example of extensive use of administrative data for statistics: • Government recognised need for better information to inform Neighbourhood Renewal • Created ethos of safely sharing data between departments and Office for National Statistics (ONS) • Created common small area geography • Provided toolkits to suppliers for data geo-referencing, aggregation, disclosure control, metadata and transfer of data • ONS hosts the Neighbourhood Statistics Service • Published small area data freely for the first time

  5. Neighbourhood Statistics Website • Part of National Statistics On-line • Freely available to anyone to use • Around 60 thousand visitors a month • Aims to cater for a range of requirements and ‘abilities’* • mapping capability • time series capability • area profile developed

  6. Range of data • wide range of data…. relevance to regeneration • variety of data suppliers (external and internal) • all datasets are aggregate and disclosure protected

  7. What does it offer the user ? • Neighbourhood Profiles • Library of datasets to view or download • Pick and mix variables from different datasets • Thematically map any data • Time series analysis • Create your own area

  8. Neighbourhood Profile • Enter a postcode or placename.. • Get a range of data for that area • In a variety of visualisations.

  9. Customised Tables, Charts & Maps • Pick and mix variables from different datasets • View data • Chart data • Thematically Map data • Time series • Create your own area

  10. Usability Review – Approach Defined user groups in order of priority.. • People directly involved with planning / policy / tackling deprivation • Other public policy makers supporting local renewal • Other sector employees/citizens involved in local renewal • General public

  11. Usability Review - Personas A persona is a design tool: • based on research: real-world observation • a hypothetical, archetypal user character, defined in detail. • they have names and faces. The whole team can picture them. “The Neighbourhood Statistics Service will provide timely, relevant and comprehensive statistics, indicators and analyses to describe the characteristics of a neighbourhood consistently over space and time”

  12. We developed 4 personas… Nicola Michael Ian Julie Research Officer Regeneration Projects Manager Local Authority Data Intelligence Manager Local Authority Concerned Citizen Local Area

  13. User Centred Design – using personas • Understand the ‘person’, their role and their organisation • What are their ‘end goals’ and ‘experience goals’ • Define user scenarios based on goals • Design an interaction based on those goals • Primary persona, and then overlay • Test prototypes on real users

  14. Key messages: Statisticians are very well placed to: • Benefit from the open data agenda to produce more and better statistics • Help others to do their jobs better with improved statistics • Make their sources available safely for wider benefit • Be the trusted and independant “honest broker”

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