The document discusses the Helsinki Region Infoshare project which aims to make regional data openly available through a centralized web service. The project will develop guidelines for data owners to publish their information and build a portal for users to easily find, access, and use the data. An implementation timeline is provided, outlining pilot phases from 2010-2012 and ongoing operations after 2012. Motivations for open data initiatives and some example data types and applications are also summarized.

1. Helsinki Region Infoshare – Open Regional Data for All Project Manager Ville Meloni Forum Virium Helsinki September 2011

2. Project Overview 07.11.11 Forum Virium Helsinki “ Making regional information quickly and easily accessible to all. The information can be used freely at no cost ” To develop a network of information owners who maintain and open their data following common guidelines. To build a web service through which the data can be easily found, accessed and utilised. Provide information as machine readable ” raw data ” which is easy to utilize in various applications and web-services. To pilot an open data activity model and its implications to both the producers and end users of the data.

3. Timeline, financing, implementation 07.11.11 Forum Virium Helsinki Collaboration with many different organisations to open data i.e. government, other municipalities, municipal organizations, etc. Financing Helsinki, Espoo, Vantaa, Kauniainen Finnish innovation fund (Sitra) Ministry of Finance Implementation Directive board City of Helsinki Urban Facts Forum Virium Helsinki Timeline 2010-2012 (pilot) 2012- (on-going function) Collaboration between data producers and developers using that data!

4. Why open data ? Government efficiency Business and innovation Transparency and democracy

5. What data is opened ? Statistics and estimates Urban phenomenon: demographics, employment, housing, commuting, etc. Geographical granularity: municipal, district, grid-level, etc. Geospatial data Data that supports presentation of statistical and other data on a map, i.e. district-level shapefiles. Other data Public services, mass-transportation, infrastructure related data, etc. 07.11.11

6. HRI-Open data operational model 07.11.11 Forum Virium Helsinki PHASED APPROACH CLEARING HOUSE END-USERS DISTRI-BUTION Public data /producers and sources HELSINKI REGION INFOSHARE Maintenance of the web service Collecting users feedback Updating of data catalogs Definition of HRI data -criteria, information policy and principles, …, licensing Support to data providers Production, maintenance, provision according to agreed rules and legal framework Employees of the municipalities State government Enterprises Research and education Citizens ” www. hri.fi ” ” extra. Hri.fi” Data Catalogs (data + metadata) Criteria and instructions Tools to open the data Feedback Data Catalogs Feedback on data Feedback on the service UTILISATION DISTRIBUTION OPENING PRODUCTION

7. ” Easy to find, access and utilize data ” Maintaining of the metadata. Actual data is hosted elsewhere. A channel for data users to give feedback and request new data. Brings visibility to existing data pools and encourages more usage. Open for all : companies, citizends, municipal administration, research institutions, etc. www.hri.fi -web-service

8. www.hri.fi -web-service Data-search, access, feedback, rating and discussions News about project progress , experiences from different stakeholders

9. Application Examples - Statistics Visualization of www.aluesarjat.fi statistics with Google motion chart. http://www.floapps.com/lab/tieke/bigchart.php

10. Application Examples - Geodata Helsinki metropolitan area shapefiles (KML) in use on top of Open Streetmap

11. Application Examples – Library data Data: http://data.kirjastot.fi/ http://www.youtube.com/watch?v=oLYb28c9JF4 HelMet-library-barcode reader by Jaakko Rajaniemi

12. Application Examples – Public Transport Data: http://developer.reittiopas.fi/ Source: http://sites.google.com/site/reittigps/ ReittiGPS – Markus Halttunen

13. semantic.hri.fi – experimenting with linked open data (lod) and statistics Experimental service. Includes Helsinki metropolitan area statistics in a semantic RDF-database. Source statistics from www.aluesarjat.fi (PC-Axis). To pilot and understand the possibilities of lod and statistical data in terms of compatibility and linkages to external data sources. Application programming interfaces aimed for developers who are interested in using statistical data for various applications and analysis. SPARQL ja HTTP GET interfaces. Example applications.

14. Project focus areas 2011 Further development of the www.hri.fi service Establishing the HRI-function (people, processes, guidelines, etc.) More open data, better open data , wider scope of open data, inter-usability of data! Encouraging the usage of the data , application competitions for developers, co-operation with companies, universities, etc. that want to use it. Apps4Finland2011 (apps4finland.fi). IBM Smarter Cities Challenge in Helsinki. Preparing for WDC Helsinki 2012. National and international co-operation related especially to: legal issues, operational best-practices and metadata interoperability. 07.11.11 Forum Virium Helsinki

15. Some experiences & lessons learned Open data is not (foremost) a technical thing Mindset, methods, mandate Start quickly with what you have “ Raw data now” vs. “let’s wait for 2 years until our systems and all the data is harmonized” Focus on ecosystem and community building Helping data owners and new kind of users to collaborate and learn from each other is important

16. Thank you ! www.hri.fi semantic.hri.fi http://www.facebook.com/helsinkiregioninfoshare Ville Meloni Forum Virium Helsinki Project Manager [email_address] www.forumvirium.fi