1. Open Data and Data Science Gerry Scullion Digital Manager, Office of the Chief Statistician

2. What is open data? Non-personal and non-commercially sensitive Easily discoverable Accessible to anyone and able to be freely used Re-used and redistributed by anyone Available via the internet in an electronic format which supports its ready re-use Open licensing which allows its reuse

3. Why make data open?

4. How we will make our data open?

5. Statistics.gov.scot

6. Our open data publishing platform for Scottish official statistics Replacement to Scottish Neighbourhood Statistics (http://sns.gov.uk)http://sns.gov.uk –Used to disseminate small area statistics –Includes statistics on deprivation Access data covering all areas of life in Scotland at national and local level 5* format

7. Statistics.gov.scot Provides statistics from a range of organisations: –Scottish Government –National Records of Scotland –NHS Information Services Division –Transport Scotland A Tour Give it a try @ statistics.gov.scot

8. What is data science? Related terms – Big Data – Data Mining – Business Analytics – Predictive analytics – Statistics

9. So what is data science? In our context It widens existing analytical techniques It uses a wider range of data (including text/unstructured data like social media, and bigger datasets like sensors) It uses different analytical techniques like aggregation of big datasets and Has more focus on prediction

10. Why use data science? A greater understanding of the current and future world –to give better advice and –for us as an organisation to make better decisions Improve service delivery It makes the most of data

11. What does data science involve? Statistics Data visualization Computer programming Data mining Machine learning and Database engineering

12. What is the Scottish Government doing? Invested in external organisations to drive value for Scotland using data –Creation of the Data Lab Public Policy Data Challenge Deliver three public data challenges around: –Inequalities –Prevention, and –Civic participation

13. Public policy challenges People arriving in hospital - to predict needs for when they leave Improve targeting of the family-nurse partnership service Understand which preventative services for re-offenders work, and for whom

14. Predictive analytics “to forecast what might happen in the future based on recent and historical data” Exploratory workshop held to identify where pa has greatest potential to improve policy outcomes Considering projects around: –Looked after children –People falling out of employment due to sickness and disability

15. Scottish Government staff Data science learning events –For analsyts –For policy staff Virtual Data Lab Data Management Data Linkage

16. Conclusions Data can improve people’s lives...but not data alone statistics.enquiries@gov.scot @ScotStat