Urban Data Platforms
Urban Data Platforms
Challenges/ Barriers facing
- ‘We are unique’ syndrome: yes and no. Doing it yourself is a costly option. Look for standardized solutions,
- Difficult to collect qualitative rather than quantitative data
- Data quality, standardization, migration and integration
Social & behavioural
- Barriers are no longer technical – need to alter the mind-set of stakeholders
Finance & business model
- Conflict between the ‘open free’ paradigm and the ‘closed/proprietary/paying’ side of UDPs. How to find a good business model?
Competences & risks
- Lack of capacity and competences
Regulatory & juridical
- Data security, data privacy, GDPR compliance and transparent data policy
- Ensure data is used solely in a bona fide way
- Data availability – especially from lager companies
- Data ownership is a problem – particularly with utility companies
- Platforms on the market are ridged structures, need more open and agile systems directed at delivering services
- Lack of focus on the end user
- Challenge to convinvce stakeholders of the benefits of sharing data
- Define a good size for the project to start with
Incentives/ Policy recommendations/ Suggestions/ Best Practices
- Create an agile system by focusing on benefits for end user: deliver the motivational buy-in
Best practices & suggestions
- Engage with businesses, citizens and public sector equally
- Avoid buying meta-platform, build it from ground up
- Work with good examples and mock-ups to convince easily and quickly.
- Think in terms of services rather than the heavy old-style platform. The available data should be easily accessible.
- A healthy mix of open and closed data should be realized.
- Shared ownership, platform as an enabler
- Explore sharing capacity for data science and analytics
- Start small and scale-up. Use easily available data early in the project.
- First focus on data collection rather than standardization. Data collection is the main issues, standardization is always possible later in the process.
- Pin-point a responsible party to ensure data security (e.g. local government)
- Team-up with artists, designers or social scientists to generate new ideas for collecting qualitative data
Plan for Implementation (Next Steps)
- Explore the financial benefits of data in your city
- Develop a process to secure organizational buy-in
- Learn from good practice – Lighthouse programme
- Develop innovative tenders
- Expand definition of use cases to realize wider benefits
- Don’t forget the offline community
- Identify the possibilities for collecting qualitative data
Lesson identified at:
CROSS-SCC Replication Workshop
28 September 2018