2013 eurogi dublinked (v1)

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2013 eurogi dublinked (v1)

  1. 1. spurring innovation with public sector dataA Creative Dublin Alliance project Supported and Powered by IBM Technologies supporting data-driven innovation in the Dublin region
  2. 2. What is Dublinked? An initiative of Dublin City Council, DunLaoghaire- Rathdown, South Dublin, Fingal County Councils, and NUI Maynooth, as part of the Creative Dublin Alliance An innovation network focussed on economic development using public-sector data A portal for the discovery of static and dynamic data about the Dublin Region, from public and private sources. A single-point-of-contact for new companies and users who wish to engage with the public sector for data requests and project proposals Supported also by the OSI, NTA, CSO, PSRA, Dublin Chamber of Commerce, Dublin BID, and many others supporting data-driven innovation in the Dublin region
  3. 3. What is Dublinked? Dublinked MNCs, SMEsIndependent Academia, DataStores SEARCH Public Sector, Citizens Federated DataStores, with a unified discovery engine All data to be directly machine accessible (RDF, URI) Usage supported by workshops and training events supporting data-driven innovation in the Dublin region
  4. 4. What sort of Data is Available?Arts & Culture, Citizen Participation, Demographics, Housing, Land UseTransportation, Road Networks, Education, Economy, Environment, OPEN DATA RESEARCH DATA Most of our data is OPEN, and released under the PSI license We have other data which cannot be released due to licensing constraints, and for these we have a single NDA for non-commerical use. supporting data-driven innovation in the Dublin region
  5. 5. Need to keep it fresh and updated supporting data-driven innovation in the Dublin region
  6. 6. Complements other Activities supporting data-driven innovation in the Dublin region
  7. 7. The Commercial Tension SMEs and Activists Commercial Services The Activist: Publicly Mapping is expensive, funded data should be Quality costs free!! Why should companies SMEs don’t want to pay make all the money, and upfront to explore new the public pay all the costs. ideas That’s not fair!! supporting data-driven innovation in the Dublin region
  8. 8. What is the role of GI? Most of our users come to us with an ICT background, not a geography, mapping, or GI background. They ask un-informed questions... • Where are the roads in Dublin? • What is the height of buildings in Dublin? • where is there a free parking spot? • where are the bus-stops? • where are the playgrounds in Dublin? Without GI, it is very difficult to extract value from the data supporting data-driven innovation in the Dublin region
  9. 9. Planning Data – A use case A good place to start as the data is already available Normally hidden behind an API In theory it should be easy, all 4 local authorities used the same system and captured similar data... but It took us at least 6 months to actually manage to produce a common output format. Problems arose such as - projections (eg: WGS vs ITM) - export formats (eg: CSV vs SHP vs KML) - same content but different titles - different software versions causing problems supporting data-driven innovation in the Dublin region
  10. 10. IBM SPUD – Semantic Processing of Urban Data supporting data-driven innovation in the Dublin region
  11. 11. Lessons Learnt Large companies research, startups develop Data quality is critical and is difficult to achieve The process of releasing data from organisations is slower than one would expect – often for perfectly valid reasons The process of encouraging people to innovate with public- sector data is equally slow – an education process Often data gets lost, or it’s not in a form that can be exported – it takes effort to extract it. Unexpectedly many different forms of public sector data can offer diverse opportunities for new businesses!! (eg playgrounds) supporting data-driven innovation in the Dublin region
  12. 12. Where do we go from here... Targeting new areas – particularly fragmented sectors such as tourism and the social services. Service Level Agreements – if companies depend on public sector data, who is going to guarantee that it will keep coming? More support for startups – plan to work more closely with economic development units, enterprise boards and enterprise Ireland. Crowd-sourcing – need to involve the citizen more in enhancing the datasets and the use cases Better Search – provide more links and discovery mechanisms for data, particularly stuff hiding within other datasets. Keep it Fresh – keep delivering more data, dynamic data, greater variety, more participants. Stale data = dead data. supporting data-driven innovation in the Dublin region
  13. 13. Delivering Economic Benefit – NEW JOBS supporting data-driven innovation in the Dublin region

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