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UK central, national and local
government: publishing government
data using linked open data
Dr. Bill Roberts
Swirrl
15 December 2015
http://swirrl.com
@swirrl
@billroberts
Overview
• Why are UK government organisations
publishing linked open data?
• How has Swirrl helped?
• Benefits
• Challenges
• Lessons learned
Why?
• (Transparency)
• Effective sharing of data:
– Within their own organisation
– With public sector partners
– With business
• Monitoring progress on policies
• Targeting resources
• Targeting investment
Why Linked Data?
• Integration of data across organisation
boundaries
• Build on architecture of the web
How?
• Make more/better data available
• Enable new methods and improved quality of
analysis
• Combine data from different sources
• Save time for analysts
Swirrl
• PublishMyData
– Data management
– Extract, Transform, Load (Grafter)
– Search, browse, visualise
– API, SPARQL query, data download
• Data modelling
• Data processing
• SaaS
Examples
Benefits
• Data is easier to find
• Data from different sources can be selected
and combined
• Data is (can be) up to date and well
documented
• Data is accessible by API
Challenges
• New skills needed in public sector
organisations
– Going beyond Excel
– Linked Data
– Programming and visualisation
– Web instead of paper!
• Business case: quantifying benefits
• Standards
• Open data and personal data
Lessons learned
• Different audiences have different needs
• Need to promote the role of 'data
intermediary'
• Skills development in the public sector
• Data cleaning and standardisation is time
consuming (but worth it)
• Need to actively engage with data consumers
• Big opportunities!

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Roberts swirrl odi_korea_dec2015

  • 1. UK central, national and local government: publishing government data using linked open data Dr. Bill Roberts Swirrl 15 December 2015
  • 2.
  • 4. Overview • Why are UK government organisations publishing linked open data? • How has Swirrl helped? • Benefits • Challenges • Lessons learned
  • 5. Why? • (Transparency) • Effective sharing of data: – Within their own organisation – With public sector partners – With business • Monitoring progress on policies • Targeting resources • Targeting investment
  • 6. Why Linked Data? • Integration of data across organisation boundaries • Build on architecture of the web
  • 7. How? • Make more/better data available • Enable new methods and improved quality of analysis • Combine data from different sources • Save time for analysts
  • 8. Swirrl • PublishMyData – Data management – Extract, Transform, Load (Grafter) – Search, browse, visualise – API, SPARQL query, data download • Data modelling • Data processing • SaaS
  • 10. Benefits • Data is easier to find • Data from different sources can be selected and combined • Data is (can be) up to date and well documented • Data is accessible by API
  • 11. Challenges • New skills needed in public sector organisations – Going beyond Excel – Linked Data – Programming and visualisation – Web instead of paper! • Business case: quantifying benefits • Standards • Open data and personal data
  • 12. Lessons learned • Different audiences have different needs • Need to promote the role of 'data intermediary' • Skills development in the public sector • Data cleaning and standardisation is time consuming (but worth it) • Need to actively engage with data consumers • Big opportunities!

Notes de l'éditeur

  1. Effective sharing – save time of data processing and analysis staff Targeting resources: 80% of spend on 5% of the people Targeting investment: global competition between cities – to attract investment and jobs – specialisms, infrastructure, quality of life
  2. Data intermediary – difficult to create generic visualisations and apps.