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Building Porto’s Open Data
Platform
Urban Data Talks #4
About me
š Worked for Porto Digital in the last 4 years, as Head of Urban Platform, Data Analysis and
Digital Services.
š Member of OASC’s Technical Council since 2019
š OASC’s team member for EU projects such as ELISE and dRural
About Porto
š Largest city in the north of Portugal (second in the country)
š 230 thousand inhabitants
š 1.8 million in the metropolitan area
About Porto Digital
š Porto Digital Association is a private non-profit
association;
š It was created in 2004 by the Municipality of Porto, the
University of Porto and the Portuguese Business
Association (AEP), in cooperation with the company
Metro of Porto;
š Created to promote ICT projects within the context of the
city of Porto and its metropolitan area.
Goals
Have a integrated (but flexible, elastic and
open) solution for:
• (Context) Data access and management
• Data-driven decision making (daily
management)
• Data-drive policy making (medium/long
term management)
• (Open) Data Publishing
Context Data
TRAFFIC
50 Cars/minute
311
Damaged traffic light
NOISE
30 dBa
AIR QUALITY
CO: 318
NO2: 71.4
311
pothole
Weather
Temperature: 18º
Wind: 10m/s
PARKING
SPOT
Status: occupied
TRAFFIC
31 Cars/minute
NOISE
10 dBa
Context Data Sources
š Sensors
š Video analytics
š Telecommunication companies
š Municipality systems
š Mobility Providers
š National Organisations
š …
Context Data
Context Data
Data driven decisions making
(example – Issue Tracking)
Data driven decisions making
(example – weather)
Data driven decisions making
(example – e-scooter usage/misusage)
Data driven decisions for policy making
(example – wifi expansion)
Data driven decisions for policy making
(example – wifi expansion)
Data driven decisions for policy making
(example – wifi expansion)
Data driven decisions for policy making
(example – electric vehicle fleet)
21:00
>3 thousands tons of CO2
Data driven decisions for policy making
(example – electric vehicle fleet)
The Urban Data Platform
The Urban Data Platform
Open Data Project
Goals:
š Government Transparency
š Active Citizenship
š Operational Efficiency
š Innovation
The Strategy
Perform an assessment on the existing scenario:
š Which data exist
š How is it managed/processed
š Where is it stored
š Who is the owner and the periodicity of update
š …
š Define a Data Valuation Strategy, and create a Plan for the Management and Valuation
of Municipality’s Data.
The Strategy
The Index
The Opendata Portal
The Governance and management
The Indexer
š Owned by the municipality and accessed only by its workers
š Index all the existing data into datasets and:
š Allow searching
š Provide a preview of that data
š Provide metadata
š * Producer/owner
š * Update periodicity
š * Classification
š * …
The OpenData Portal
š Provide similar features as the
Index (indexing, searching,…) but
only for opendata
š Accessible by humans, but also
by machines (throught an API)
The technical solution
Thank you
Jaime Ventura
jaimeventura@gmail.com
linkedin.com/in/jaimeventura

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Building Porto's Open Data Platform

  • 1. Building Porto’s Open Data Platform Urban Data Talks #4
  • 2. About me š Worked for Porto Digital in the last 4 years, as Head of Urban Platform, Data Analysis and Digital Services. š Member of OASC’s Technical Council since 2019 š OASC’s team member for EU projects such as ELISE and dRural
  • 3. About Porto š Largest city in the north of Portugal (second in the country) š 230 thousand inhabitants š 1.8 million in the metropolitan area
  • 4. About Porto Digital š Porto Digital Association is a private non-profit association; š It was created in 2004 by the Municipality of Porto, the University of Porto and the Portuguese Business Association (AEP), in cooperation with the company Metro of Porto; š Created to promote ICT projects within the context of the city of Porto and its metropolitan area.
  • 5. Goals Have a integrated (but flexible, elastic and open) solution for: • (Context) Data access and management • Data-driven decision making (daily management) • Data-drive policy making (medium/long term management) • (Open) Data Publishing
  • 6. Context Data TRAFFIC 50 Cars/minute 311 Damaged traffic light NOISE 30 dBa AIR QUALITY CO: 318 NO2: 71.4 311 pothole Weather Temperature: 18º Wind: 10m/s PARKING SPOT Status: occupied TRAFFIC 31 Cars/minute NOISE 10 dBa
  • 7. Context Data Sources š Sensors š Video analytics š Telecommunication companies š Municipality systems š Mobility Providers š National Organisations š …
  • 10. Data driven decisions making (example – Issue Tracking)
  • 11. Data driven decisions making (example – weather)
  • 12. Data driven decisions making (example – e-scooter usage/misusage)
  • 13. Data driven decisions for policy making (example – wifi expansion)
  • 14. Data driven decisions for policy making (example – wifi expansion)
  • 15. Data driven decisions for policy making (example – wifi expansion)
  • 16. Data driven decisions for policy making (example – electric vehicle fleet)
  • 17. 21:00 >3 thousands tons of CO2 Data driven decisions for policy making (example – electric vehicle fleet)
  • 18. The Urban Data Platform
  • 19. The Urban Data Platform
  • 20. Open Data Project Goals: š Government Transparency š Active Citizenship š Operational Efficiency š Innovation
  • 21. The Strategy Perform an assessment on the existing scenario: š Which data exist š How is it managed/processed š Where is it stored š Who is the owner and the periodicity of update š … š Define a Data Valuation Strategy, and create a Plan for the Management and Valuation of Municipality’s Data.
  • 22. The Strategy The Index The Opendata Portal The Governance and management
  • 23. The Indexer š Owned by the municipality and accessed only by its workers š Index all the existing data into datasets and: š Allow searching š Provide a preview of that data š Provide metadata š * Producer/owner š * Update periodicity š * Classification š * …
  • 24. The OpenData Portal š Provide similar features as the Index (indexing, searching,…) but only for opendata š Accessible by humans, but also by machines (throught an API)