This document discusses the highs and lows of open data as well as some big unknowns. Among the highs are strong grassroots campaigns, top-level political support, and appealing to multiple priorities. Potential lows include issues like "open washing" leading to decreased momentum ("peak open") and data quality problems. Big unknowns center around maintaining commercial and government support over time as well as challenges involving personal data protection and ensuring ongoing data discovery and reuse.

1. Open Data
Highs, Lows and Big Unknowns
Tom Heath
Head of Research
Open Data Institute
@tommyh

2. My Open Data Story

3. A Developmental Perspective

4. The (Increasing) Highs

6. Launched March 2006 – http://freeourdata.org.uk/

7. Launched October 2007 – http://data.dc.gov/

8. source: http://www.theguardian.com/news/datablog/2010/feb/05/mps-expenses-houseofcommons

9. Launched May 2009 – http://data.gov/

10. Appointed June 2009
Image by Elon University, CC-BY 2.0 http://www.flickr.com/photos/elonuniversity/4560487761/

11. In Beta September 2009 – http://data.gov.uk/

12. Launched April 2010 – (at big long url...)

13. Launched September 2010 – (another long url)

14. Published November 2011

15. Published June 2012

16. Launched in Beta September 2012 – http://data.gov.in/

17. Official Launch December 2012 – http://theodi.org/

18. Made? Signed? Ordered? May 2013

19. Signed June 2013

20. Signed June 2013

21. Released October 2013 – https://index.okfn.org/

22. Released October 2013 – http://opendatabarometer.org/

24. What did we get right?
●
Strong grassroots campaigns
●
Top-level (cross-party) political support
●
Appealing to multiple (different) priorities

25. The Lows

26. by Freefoto, CC-BY-NC

28. Big Unknowns

29. will “open wash” lead to “peak open”?

30. Image by Olga Tarkovskiy, CC-BY-SA 3.0
http://en.wikipedia.org/wiki/File:Hype-Cycle-General.png

31. Image by Ulrich Atz, CC-BY-SA 3.0
http://www.flickr.com/photos/elonuniversity/4560487761/

32. a “personal data chernobyl”
“care.data”

33. indifference, losing momentum
→ the evidence base
mailto:tom.heath@theodi.org
→ commercial uptake
→ ongoing government commitments

34. data quality, provenance, versioning, description

35. web-scale discovery and reuse (inc. licensing!)

36. http://data.dc.gov

37. So what can you do?

38. How are you using open data?
And what have you learned?

39. Questions?

40. Acknowledgements
●
Fred Saunderson and Max Heimstädt
–
●
Tim Davies
–
●
UK Open Data Timeline
Open Data Timeline
Ulrich Atz
–
“Big, Open and Personal” Venn diagram