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

1. Give up yer auld data…
Deirdre Ní Raghallaigh
The Studio,
22nd November 2012

2. The Studio
Designing alternative options with customers and staff
•Service Design
•New forms of public
engagement
Changing
services
•Ideas development and
testing Servicing
change
+ …………….. Dublinked

3. Cities become interesting…
•New
Approaches
•IBM Smart
Cities
•How could
Dublin
facilitate

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. 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. Confessions of a non-techie
If you don’t know your
xml from an api…….

7. Origins of Open?
F

8. First steps in open data
Before 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. 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. Identifying potential data
•Reformat existing streams
•Share research
•Mapping
•Public registers
•Operational data
•Frequent requests
•Copy your peers

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. 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. Not always the best judge…
High interest;
Transport, planning, environment, mapping
Unexpected;
Fire brigade, school wardens, winter salting routes

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. Learning to walk: Next Steps
:: :
•Integrating and updating some dynamic/live data
• IS support more crucial
•Workflow system
•Standardising output with others

16. Don’t reinvent the wheel
Use existing tools:
•PSI licence
•Creative Commons Licences
•Dublinked
•Your corporate websites
•Link extensively

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. 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. New Collaborations…