Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, Sharing and Collection in Policing and Justice
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The document discusses the challenges and requirements for effective data management in policing within the context of the UK, including the importance of security, privacy, and transparency. It highlights the potential of web observatories to enhance data management and public engagement while maintaining legitimacy and compliance with data protection. The authors propose the integration of online data sources and community involvement in the dissemination of police data to improve overall policing strategies.
![Potential for Contribution to
Engagement Strategy
Leigh Park Twitter mention network
(High IMD [index of multiple
deprivation])
Eastleigh Twitter mention network
(Diverse area with pockets of deprivation)](https://image.slidesharecdn.com/oharawebsci23-140626095729-phpapp02/85/Security-and-Legitimacy-in-a-Web-Observatory-Requirements-for-Data-Linkage-Sharing-and-Collection-in-Policing-and-Justice-6-320.jpg)
Security and Legitimacy in a Web Observatory: Requirements for Data Linkage, Sharing and Collection in Policing and Justice
- 1. Security and Legitimacy in a Web Observatory Kieron O’Hara, Alistair Sackley, Ian Brown, Ramine Tinati, Thanassis Tiropanis & Xin Wang presented at Workshop on Building Web Observatories, WebSci14, Bloomington, Indiana, 23 June 2014
- 2. Complex England & Wales Policing Context • 43 regional police forces • Several specialised national bodies • E.g. Serious Fraud Office • Many multi-agency partnerships • E.g. Integrated Offender Management • Data only loosely standardised • Some brought together in national open data site police.uk • Police data v performance data • Extremely sensitive personal data
- 3. Policing Requirements • Highly data (intelligence) driven • Need to retain legitimacy • Policing by consent • Greater scrutiny • Cost constraints • Control • Data protection liability for personal data • Big IT mindset • Risk aversion
- 4. Data Management Requirements • Effective • The right people get the data at the right time • Safe • Data subjects (victims, witnesses) not exposed • Secure • Investigations not compromised • Transparent • Open to democratic scrutiny
- 5. Potential for Web Obs Contribution to Data Management • Control • Security • Privacy • Discriminating sharing
- 6. Potential for Contribution to Engagement Strategy Leigh Park Twitter mention network (High IMD [index of multiple deprivation]) Eastleigh Twitter mention network (Diverse area with pockets of deprivation)
- 7. Potential for Contribution to Low- Level Intelligence Gathering • NOT surveillance, but understanding • Only a small Twitter community in Leigh Park • What are the appropriate sources of online data? • Engagement means taking part (e.g. retweeting) • Placing police data in context of public and open data • Opening out some police data/analytics to community groups, or even making it open
- 8. Need to Demonstrate • Security • Data protection • Preservation of data control • Potential of “safe haven” • Utility • Legitimacy • Low/justified cost • Compatibility with more traditional data • Compatibility with workflow