Open Data Landscape

Jeni TennisonTechnical Director, ODI

Open Data Institute

• Independent institute• £10m over 5 years from TSB• Matching with money from:– paying members– training & professional services– philanthropic investors– research grants

Adoption Curve

Pnautilus at en.wikipedia

Stakeholders

Government Business

Civil Society Researchers

Open Data for GrowthTrend #1

Change in Consumers

• Activists to entrepreneurs• Freedom of Information– right to know– transparency / accountability

• Right to Data–making that information easier to

analyse

• Sustainable publication– enabling businesses to be built

Change in Publishers

• Not just government any more• Third-sector benefits– International Aid Transparency Initiative

(IATI)

• Research benefits–more impact on the world

• Business benefits– reputational– outsourced R&D

Professionalising Open Data

• Enterprise-level tools– CKAN Socrata

• Training– Open Data in Practice training

• Professional services– consultancy & development

• Kitemarks– Open Data Certificate

https://certificates.theodi.org

Levels of Open Data

Expert – information infrastructure

Standard – routine publication

Pilot – trials supporting feedback

Raw – great start at the basics

Impact

• help identifying improvements– OpenStreetMap– transportAPI– legislation.gov.uk– data.police.uk– Ordnance Survey

• help setting bold targets– "Can NHS England be Expert?"– GDS adding targets to spend controls

Need for Business ModelsTrend #2

Selling Data

data customer

licensing

enforcing

selling

salespeople

lawyers

quantity

pric

e

newrevenue

Shifts in Demand

filmmusic

newspaperssoftware

data

Open Data is a Tool

data

enhanced informed

diversedata

Collaboration with Open Data

Trend #3

Collaborate

• distributed effort– reduced cost– enhanced value

• host benefits– improved data– moderation

• examples– MusicBrainz– OpenStreetMap– legislation.gov.uk lower

informedinformed

data

Tools

• Collaboration requires internal use– visualisation– analysis

• Distributed control– scrapers– aggregators

• Version control– "git for data"

Conclusions

Hype Curve

Jeremykemp at en.wikipedia

Navigating the Trough

• Build evidence– deep stories of open data success– capture interest & imagination– underlying hard figures

• Pave cowpaths– build on good practices

• Experiment– no one knows where we'll end up

Questions?jeni@theodi.org @JeniT

http://theodi.org