Download as PDF, PPTX
Uploaded byOpen & Agile Smart Cities
Introduction to the state-of-the-art urban data platforms
This document discusses municipality data hubs and urban data platforms. It notes that municipalities are mostly in charge of owning and operating these platforms. The platforms bring together data from various sources like citizens, companies, government, and sensors. They aim to address issues like economic growth, public health, and more. While many envision supporting functions like apps and marketplaces, most platforms currently focus on basic data sharing. Significant potential remains to be unlocked through further development.
More Related Content
Similar to Introduction to the state-of-the-art urban data platforms
![Coded Agents – with UiPath SDK + LangGraph [Virtual Hands-on Workshop]](https://cdn.slidesharecdn.com/ss_thumbnails/codedagentsdeck-251215155422-5497c599-thumbnail.jpg?width=640&height=640&fit=bounds)
Introduction to the state-of-the-art urban data platforms
- 2.
- 3.
- 4.
- 5. 5 5 Urban Data Platform Operator Data Trustee UrbanData Platform Operator Data Trustee Urban Data Platform Operator Data Trustee Municipality Data Hub
- 6. Academia R @ D Academia R@ D NGOsNGOs Companies / Startups Companies / Startups CompaniesCompanies Urban Data Platform Operator / Data Trustee / Data & App Marketplace Urban Data Platform Operator Data Trustee Urban Data Platform Operator Data Trustee Urban Data Platform Operator Data Trustee Citizen (communities) Companies / Startups IoT / customer sensor data data Open data source Municipality Datahub Platforms & Intermediairies Citizen (communities) Open data source Open data source BGOsBGOs NGOs Academia R @ D Sensors Companies / Startups Municipality Platforms & Intermediairies NGOs Academia R @ D Policy Makers 6
- 7. Alexandroupolis Alkmaar Amsterdam Bassano del grappa Berlin Budapest Cluj-Napoca Derry Eskişehir Essen Évora Genth Gothenburg Graz Kerava Leon Maia Manchester Oostende Parma Porto Rennes Reykjavik Riga SantaCruz de Tenerife Skellefteå Suceava Smolyan The Hague Umeå Building & Implementing Urban Data Platform (25%) Operational Urban Data Platform (31%) Exploring & Planning for Urban Data Platform (44%) Alba Iulia Bilbao Bordeaux Bristol Groningen Lublin Linköping Maribor Nottingham Pamplona Rotterdam Saint-Quentin Santander Stavanger Stuttgart Trento Tampere Firenze Glasgow Albacete Barcelona Brno Cologne Copenhagen Grenoble Hamburg Helsinki Lisboa London Lyon Matosinhos Milan Munich Nantes Oulu San Sebastian Sonderborg Stockholm Tartu Utrecht Valenica Vienna Warsaw 7
- 8.
- 9. 9 Who is thePlatform Owner? Who is the Platform Manager? N = 66. Municipality is mostly in charge. Municipality is the orchestrator in the development of the UDP. It is responsible for the governance of the UDP, it provides data and uses data from the UDP Outsourcing of UDP development? Municipality Public-Private Partnership Private Partner Other Municipality Public-Private Partnership Private Partner Other Yes No I don't know
- 10. N = 80,Frequency distribution 2,41 2,50 2,65 2,65 2,82 2,83 3,03 3,17 3,17 3,52 3,58 3,60 3,64 3,88 3,97 3,98 1 2 3 4 5 To fight poverty Public Health Reduce inequality Liveability Guarantee inclusion and diversity Public Safety Democracy Facilitate economic growth Resiliency of the city Environmental sustainability Citizen Engagement Co-create city services Entrepreneurship & Innovation Privacy & data security Cost-efficient & effective operations Informed decision-making by policy makers Mean and Standard Deviation Slightly important Moderately important Very importantNot at all important 10
- 11. 11 0 10 2030 40 50 60 Data available to users in Open Data Platform APIs for platform services Connect data users, app providers and data sources Visualize data in a 3D digital twin of the city Software Development Toolkit (SDKs) for App development Connect buyers and sellers of data and Apps with catalogue Allow trade on the platform through an app store Price setting market mechanisms Selling Apps with revenue share Frequency Distribution Envisioned to be supported by the platform Currently supported by the platform N= 59. Considerable potential identified, which is yet to be exploited
- 12. N = 49.Mobility & Logistics is the dominant data sources and data users followed by Built environment and Energy 13 11 16 17 14 20 17 27 20 29 32 36 36 45 6 10 11 13 13 13 14 21 22 24 27 30 31 38 0 5 10 15 20 25 30 35 40 45 50 Telecommunications Health(care) Other Human service ( e.g. permits) Social Benefits Economic Development Public safety, Security and Emergency responses Waste management Education & Skills Water & waste water management Sport, Leisure, Culture & Tourism Energy Built environment Mobility & logistics 12
- 13. restricts somewhat restricts neutral slightly accelerates accelerates Other Contractualcomplexities Legislation Cyber security risks Procurement legislation Privacy legislation Data ethics and societal concerns Digital literacy of end users Cultural and social issues Political commitment / sponsorship Business Case Private sector drive Citizens’ actions and involvement Subsidies, Grants Open data standards & Protocols Triple helix collaboration Trust among the involved partners 13
- 14. 4,19 3,82 4,18 3,90 3,51 3,33 4,28 2,99 3,63 3,44 3,00 2,42 2,28 2,71 2,82 2,43 2,49 3,51 2,32 3,07 2,95 3,00 1 2 3 4 5 Crosssilo/ organizational collaboration Cross silo data quality management Data governance Change management and leadership Enabling an open innovation ecosystem Innovation process management skills Data security Development in short cycles / agile approach Learning by doing Risk management: processes and tools Other Mean Importance Mean maturity Slightly important Moderately important Very important Extremely important Not important Poor Average Good Excellent Terrible 14
- 15.
- 16. This presentation containsresults from the EU Ruggedised project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731198. The sole responsibility for the content of this presentation lies with the author and does not necessarily reflect the opinion of the European Union. Dr. Marcel van Oosterhout Assistant executive director Erasmus Centre for Data Analytics Rotterdam School of Management, Erasmus University Rotterdam Email: moosterhout@rsm.nl Web: www.eur.nl/data Dr. Haydee Sheombar Researcher Rotterdam School of Management, Erasmus University Rotterdam Email: Sheombar@rsm.nl Julia Amelie Holst Research Assistant Rotterdam School of Management, Erasmus University Rotterdam Email: holst@rsm.nl