22112012 dnr public sector workshop

519 views

Published on

'Using Public Data to Drive Innovation' Event 22nd November 2012

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
519
On SlideShare
0
From Embeds
0
Number of Embeds
225
Actions
Shares
0
Downloads
4
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

22112012 dnr public sector workshop

  1. 1. Give up yer auld data… Deirdre Ní Raghallaigh The Studio, 22nd November 2012
  2. 2. The StudioDesigning alternative options with customers and staff •Service Design •New forms of public engagement Changing services •Ideas development and testing Servicing change + …………….. Dublinked
  3. 3. Cities become interesting… •New Approaches •IBM Smart Cities •How could Dublin facilitate
  4. 4. Why Dublinked?Dublin Region’s first data sharing initiative was new for us •New to Open Data •New partnerships and network •New consumers •New opportunities for the Council F
  5. 5. Go on, go on, go on…. • Low Revenue costs •Technical support and expertise IBM and NUIM • 1.5 fulltime staff in DCC during initial data collection •Users very keen to advise …. It’s something we can all afford
  6. 6. Confessions of a non-techie If you don’t know your xml from an api…….
  7. 7. Origins of Open? F
  8. 8. First steps in open dataBefore you even look at the data •Get the backing of management •Choose your first topics carefully •One sign off per department •Set ambitious targets •IT support will make life easier •Maintain momentum
  9. 9. Collecting your data •Cataloguing all data •Purpose of collection •Acknowledge deficiencies •Flag potential issues for users •Can we publish all/some/none and why?
  10. 10. Identifying potential data•Reformat existing streams•Share research•Mapping•Public registers•Operational data•Frequent requests•Copy your peers
  11. 11. Excuses, excuses… Expect to hear…. Sure who would be interested in •“Can we really release this this? under data protection?” •“Will this raise awkward queries?” •“Could this embarrass us?”
  12. 12. They might have a point….. WITH GREAT DATA COMES GREAT RESPONSIBILITY… Reasons not to publish? • Data protection •Security (water, parking revenue) •Commercial sensitivity (property register) •Licence issues •Contractual issues(Dublin Bikes)
  13. 13. Not always the best judge… High interest; Transport, planning, environment, mapping Unexpected; Fire brigade, school wardens, winter salting routes
  14. 14. Don’t get obsessed with formats • PDF, HTML x Date 01/01/2 Agenc Station y 011 DA Area D10 DISTRICT _ID CITY CENTRE TOC ORD MOB IA 00:05 00:07 00:07 00:09 :16 :33 :50 :12 LS AH MAV CD 00:21 00:37 00:41 :19 :53 :44 •CSV, XML, KML,GML SAINT STEPHEN S GREEN •If in doubt put it out 01/01/2 SUB 00:05 00:09 011 DA D10 AREA :18 :47 01/01/2 CLOGHR 00:06 00:07 00:09 00:13 00:18 •Ask for help from users 011 DA D5 AN :29 :52 :09 :37 :39 01/01/2 CITY 00:06 00:07 011 DF D10 CENTRE :57 :48 01/01/2 BALLYM 00:07 00:12 00:14 00:30 00:31 011 DA D5 UN :36 :37 :46 :16 :05 01/01/2 00:08 00:12 011 DA D24 SKERRIES :11 :26 01/01/2 BLUEBEL 00:11 00:12 00:13 00:20 00:27 00:32 00:37 00:37 011 DA D2 L :02 :48 :44 :49 :09 :22 :11 :25 01/01/2 00:11 00:18 00:20 00:29 00:52 01:02 01:07 01:10 011 DA D5 FINGLAS :36 :39 :56 :23 :28 :08 :51 :56 01/01/2 CITY 00:16 00:19 00:20 00:25 00:35 00:43 00:54 00:54 011 DA D10 CENTRE :48 :33 :52 :01 :44 :23 :48 :57 01/01/2 CITY 00:16 00:33 00:35 00:41 00:54 01:09 01:10 011 DA D1 CENTRE :49 :41 :09 :52 :49 :15 :55 BOHERN 01/01/2 ABREEN 00:18 00:26 00:26 00:32 00:37 00:43 00:51 00:52 011 DA D7 A :31 :31 :58 :38 :28 :33 :49 :34 01/01/2 BLAKEST 00:20 00:41 011 DA D9 OWN :37 :28 BOHERN 01/01/2 ABREEN 00:20 00:24 00:24 011 DA D7 A :55 :45 :48 SOUTH 01/01/2 CIRCULA 00:22 00:25 00:26 00:30 00:48 00:52 011 DA D2 R ROAD :50 :48 :49 :19 :37 :10 01/01/2 CITY 00:23 00:36 011 DA D10 CENTRE :15 :22 01/01/2 CITY 00:25 00:28 00:30 00:35 00:41 00:44 00:54 00:55 011 DA D10 CENTRE :17 :43 :17 :39 :56 :55 :50 :09
  15. 15. Learning to walk: Next Steps:: : •Integrating and updating some dynamic/live data • IS support more crucial •Workflow system •Standardising output with others
  16. 16. Don’t reinvent the wheel Use existing tools: •PSI licence •Creative Commons Licences •Dublinked •Your corporate websites •Link extensively
  17. 17. Not all plain sailing … •Colleagues may not get it •You will be criticised for not doing enough •It takes effort and persistence •Integrating into organisation
  18. 18. Benefits… •Found in-house champions •One corporate data catalogue •Highlights good internal data practices •Makes research data available for recycling •Greater consistency between different bodies •Requiring open data outputs from suppliers •Reduced risk of losing control of our own data
  19. 19. New Collaborations…

×