Scaling API-first – The story of a global engineering organization
Open Public Data Future Scenarios
1. Reflecting on the Consequences of Open Public Data Daniel Kaplan, Fing September, 2010 [email_address]
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5. What causes the difference? Large sets of PSI released, raw, mostly free… … Reused by a broad diversity of actors, producing… Transparency before accountability Privately-supplied public services Unbeneficial new knowledge Citizen frustration Transparency and accountability New / improved public services New knowledge and insights Citizen empowerment ?
6. Are there other scenarios? How & Why do they differ from one another?
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9. What do we know? What do we know we don't know?
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11. Tensions and uncertainties Government as facilitator / as service provider Government as primary data source / re-user or data Transparency / Privacy Transparency / Ability to make bold decisions Financing of public agencies whose job is to produce data Privatization of services / Data openness Empowering the empowered / the disenfranchised Empowering the public / Empowering corporations Creating trust / Destroying trust … Divergence about the meaning of data Power in establishing data structure, categories, granularity Incentive for data falsification, vandalism, etc. Distribution of ability to effectively use data …
13. A few building blocks Data Mapping data Reference docs End-user info "Grey" docs Observation data Production data Financial data Directory data Actors IT businesses Government Local govts. Public services Other businesses Research Citizens Media Uses Reveal Facts Produce information Provide Interfaces Create new services Improve services Outcomes Improved services Transparency, accountability Efficiency, productivity New knowledge Innovative services Service coproduction Democratic participation Citizen empowerment NGOs <Special thanks to Tim Davies, Practical Participation>
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15. Let's take it from here! Daniel Kaplan, Fing September, 2010 [email_address]
17. "Public Data" typology/ies Other possible typologies: by source, by destination, by finality (eg, "end-product" vs. "intermediary" data)… Stability Economic interest Public interest Documents Normative and reference documents (regulations, decisions…) ++ + ++ Mediated information directed towards end-users + + ++ "Grey" documents (eg, mail, studies, reports…) - + + Datasets Mapping data + ++ ++ Observation data (eg, stats, measurements…) - ++ ++ Production data (eg, filled-in forms, MIS data, inventories, real-time system data…) -- + + Budget and financial data - + ++ Directory data (eg, addresses, org charts…) - + +
18. Types of actors Produ-cers Re-users Inter-mediaries Economic interest Public interest Public institutions National / Continental ("Governments") ++ + + + ++ Local ++ + - + ++ Agencies & operational public services ++ + - ++ ++ Businesses Within the information sector +? ++ ++ ++ - IT providers - + + + + Other existing businesses +? ++ - ++ - Startups - ++ + ++ - Others Media, bloggers - ++ + + ++ NGOs, activists, lobbyists - ++ + - ++ Researchers + ++ - ++ ++ Individual citizens +? + - + ++
19. Uses of public data <Special thanks to Tim Davies, Practical Participation, "How is Open Data Being Used in Practice?"> Added value Difficulty Economic interest Public interest Reveal facts (search / browse / extract) - - + + Produce information (representation / interpretation) + + + ++ Produce an interface (means to interactively access and explore one or more datasets) ++ ++ + ++ Improve or transform services ++ ++ + ++ Create new services ++ ++ ++ ++
20. Expected outcomes Direct impact Indirect impact Economic interest Public interest Transparency and accountability ++ + - ++ Efficiency and productivity of public agencies - ++ + ++ New knowledge and insights + ++ + ++ Improved public services - ++ + ++ New public services - ++ ++ ++ Democratic participation - ++ - ++ Co-design / co-production of public services - ++ + ++ Citizen empowerment in personal / community life + ++ + +