ODRA Launch Seminar Malaysia

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The launch of the Open Data Readiness Assessment for Malaysia, by the Minister for administrative modernisation and our team.

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ODRA Launch Seminar Malaysia

  1. 1. Open Data for Malaysia
 Open Data Readiness Assessment MAMPU and World Bank Ton Zijlstra, ton@tonzijlstra.eu, @ton_zylstra
  2. 2. Outline for today ● What open data is
 ● How open data creates value
 ● Open data as a policy tool ● The building blocks of enabling open data ● The open data readiness assessment ● Q&A 2
  3. 3. Data that is Gathered for a public task Pro-actively published To be used by others
  4. 4. No legal barriers Everyone has equal access Open licensed (PD, or attribution) No statement of interest No usage restrictions
  5. 5. No tech barriers Open machine readable standards Findable In bulk and/or in pieces Raw and timely
  6. 6. No financial barriers Free of charge Marginal costs at most
  7. 7. four valuable reasons more efficient government better public services more transparent government new socio-economic value
  8. 8. http://www.flickr.com/photos/59937401@N07/5858059202/ DK addresses 2010: value > 70 * cost ETLA, SME’s geo data grow 15% faster Spain 2011/12, up to 600 million Euro POPSIS 2012, 21 cases Vickery / EC 2012, 2% GDP EU McKinsey 2014, $3 trillion+ See „Open Data for Economic Growth” (WB, june 2014) all empirical evidence points same way
  9. 9. https://www.flickr.com/photos/jeppestown/12105522476/ Copernicus Sentinels’ Products Economic Value:
 Winter Navigation in the Baltic (Sept 2015) Up to 116 ME p.a. Network effect is most important
  10. 10. 10 government is a strong re-user: 6.5m GBP saved
  11. 11. Denmark projects 26M+ Euro annual savings
  12. 12. SME’s profit most from open data ● 14.000 companies in 15 European countries surveyed by ETLA (Research Institute for the Finnish Economy)
 ● SME’s profit most ‒ 15% faster growth compared to no free access ‒ geo-data impacts sales growth most 12
  13. 13. 13 transparency empowers citizens
  14. 14. four valuable reasons more efficient government better public services more transparent government new socio-economic value
  15. 15. new actors, create new activities 2012-2014 (Dutch cadastral office) re-users 5x government 2,3x (80 -> 37%) businesses 12x (17 -> 41%) individual 37x (3 -> 22%) Walking routes on cadastral maps Website ‘wandelnet’ gets 100k visitors per month. Routes are planned using cadastral maps “surprised by cultural and educational use”
  16. 16. new actors (5k people, 500 apps)
  17. 17. value, efficiency, impact use open data as a policy instrument policy issue stakeholders open data
  18. 18. if you know why, you’ll see the impact http://www.flickr.com/photos/ringroadproductions/144808172/
  19. 19. Costs too much; What’s the business case; Has commercial value; Possible privacy issues; Confidential info; It’s not ours, and we don’t know who owns it; It’s not ours and supplier won’t allow it; The quality isn’t very good; We don’t know where it is; Not our job; It’s in a useless format anyway; I don’t have the authority; People will misuse the data; People will use it wrongly; Only we understand our data; We’ll get sued; Files are just too big; Too little bandwith; It starts with this, but where’s the end? It’s there, but can’t be opened; Data is dated/too old; It’s not in digital format; Is this even legal?; Our Minister says no; We never have done this before, why start now?; I don’t see the use; Nobody will be interested; No time; No resources; Just do FOIA requests; We’ll publish it redacted; It’s not complete; It contains errors; It’s commercially sensitive; Combining this with other data is dangerous; People will come to wrong conclusions; People will get lost and confused; It will trigger endless discussions; We can’t confirm or deny we have that data; We’ll get feedback, and can’t handle that; Our IT supplier says it’s not possible; Our IT supplier will charge too much; Our site will crash; It’s already online! (but in unfindable PDFs); If people download it and use it later it will be outdated; I can’t take responsibility for all the reuse; People will get angry; Our data is in contradiction to the data of the department that is in charge of the topic; Only we truly understand.....statistics/meteo/geo/ laws; We’ll disrupt the market; It will only be used to attack us. many shades of ‘no’
  20. 20. 20 <<1% rule of thumb
  21. 21. citizens help improve data https://www.flickr.com/photos/umdrums/8733821251
  22. 22. Case Study: Statistics Germany 16 Users: +1800% Downloads: +800%
  23. 23. 500k & 1M vs 3M5 & 100
  24. 24. Costs too much; What’s the business case; Has commercial value; Possible privacy issues; Confidential info; It’s not ours, and we don’t know who owns it; It’s not ours and supplier won’t allow it; The quality isn’t very good; We don’t know where it is; Not our job; It’s in a useless format anyway; I don’t have the authority; People will misuse the data; People will use it wrongly; Only we understand our data; We’ll get sued; Files are just too big; Too little bandwith; It starts with this, but where’s the end? It’s there, but can’t be opened; Data is dated/too old; It’s not in digital format; Is this even legal?; Our Minister says no; We never have done this before, why start now?; I don’t see the use; Nobody will be interested; No time; No resources; Just do FOIA requests; We’ll publish it redacted; It’s not complete; It contains errors; It’s commercially sensitive; Combining this with other data is dangerous; People will come to wrong conclusions; People will get lost and confused; It will trigger endless discussions; We can’t confirm or deny we have that data; We’ll get feedback, and can’t handle that; Our IT supplier says it’s not possible; Our IT supplier will charge too much; Our site will crash; It’s already online! (but in unfindable PDFs); If people download it and use it later it will be outdated; I can’t take responsibility for all the reuse; People will get angry; Our data is in contradiction to the data of the department that is in charge of the topic; Only we truly understand.....statistics/meteo/geo/ laws; We’ll disrupt the market; It will only be used to attack us. many shades of ‘no’
  25. 25. 26 4 building blocks
  26. 26. https://www.linkedin.com/groups/5190698
  27. 27. Wie is hier extern https://www.flickr.com/photos/aidan_jones/1234618279 building collaborative relations between stakeholders
  28. 28. Impact through Value creation
  29. 29. Open Data Readiness Assessment (ODRA) http://opendatatoolkit.worldbank.org/en/odra.html
  30. 30. Objectives of ODRA ● Designed as a quick diagnostic, not a score card ● Designed to be action orientated ‒ Recommendations for key strategic actions ‒ Building on what is there, and recognized potential ‒ (But not a detailed implementation plan) ● In close partnership with MAMPU 35
  31. 31. 36 Leadership Policy frame- work Legal framework Institutional capabilities Funding Data availability Data management National skills Citizen engagement Demand
  32. 32. Terima kasih
  33. 33. Q A

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