1. United Kingdom Statistics and Open Data: An Early Example Neighbourhood 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.

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

17. Usability Review – Approach Defined user groups in order of priority.. 1.People directly involved with planning / policy / tackling deprivation 2.Other public policy makers supporting local renewal 3.Other sector employees/citizens involved in local renewal 4.General public

18. 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”

19. We developed 4 personas… NicolaMichaelIanJulie Research Officer Regeneration Projects Manager Local Authority Data Intelligence Manager Local Authority Concerned Citizen Local Area

20. 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

22. 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”