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Open Data & Open Government

implementation in the UK

Andrew Stott

UK Transparency Board

& formerly Director of

data.gov.uk

QUT

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(3)

UK Policy Drivers

New economic and social value

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Economic Innovation and Growth

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Civil Society and Social Value

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UK Policy drivers

New economic and social value

Jul 11

Improve public services

8

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Improving Public Services

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Jun 09

UK Policy drivers

New economic and social value

May 10

Improve public services

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Transparent and Accountable Government

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The emergence of data journalism

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The first two years of data.gov.uk

Over 7100 datasets

37 GB of geo data

Public Data Principles

Open Government

Licence

Transparency of

salaries, spending,

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Important to have top-level political support

“Public information does

not belong to

Government, it belongs

to the public on whose

behalf government is

conducted.”

“Greater transparency

across Government is at

the heart of our shared

commitment to enable

the public to hold

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Important to have strong “demand-side”

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Set coherent policy principles, but not in stone

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http://data.gov.uk/blog/new-public-sector-transparency-board-and-public-data-transparency-principles

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22

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It’s not just about new data

Scope for “Open Data” also includes data

previously “published” but …

in non-reusable format

with restricted licence

only aimed at specialist groups

only for payment

only in response to FOI requests

difficult to find

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Handling the concerns of data owners

“People hug their database, they don't want to

let it go. You have no idea the number of

excuses people come up with to hang onto

their data and not give it to you, even though

you've paid for it as a taxpayer. We have to

ask for raw data now” – Tim Berners-Lee

http://www.ted.com/talks/tim_berners_lee_on_the_next_web.html

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A sample of “data hugging” excuses

It’s held separately by n different organisations, and we can’t join it up

 It will make people angry and scared without helping them

 It is technically impossible  We do not own the data

 The data is just too large to be published and used

 Our website cannot hold files this large

 We know the data is wrong

 We know the data is wrong, and people will tell us where it is wrong

 We know the data is wrong, and we will waste valuable resources inputting the corrections people send us

 People will draw superficial conclusions from the data without understanding the wider picture

 People will construct league tables from it

 It will generate more Freedom of Information requests

 It will cost too much to put it into a standard format

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Dealing with “data hugging”

It’s held separately by n different organisations, and we can’t join it up

 It will make people angry and scared without helping them

 It is technically impossible  We do not own the data

 The data is just too large to be published and used

 Our website cannot hold files this large

 We know the data is wrong

 We know the data is wrong, and people will tell us where it is wrong

 We know the data is wrong, and we will waste valuable resources inputting the corrections people send us

 People will draw superficial conclusions from the data without understanding the wider picture

 People will construct league tables from it

 It will generate more Freedom of Information requests

 It might be combined with other data to identify individuals/sensitive information

 It will cost too much to put it into a standard format

 Our IT suppliers will charge us a fortune to do an ad hoc extract

Data owners need to be helped through

● Often they rationalise fear of the unknown

● Example & precedent are your friends

● Look for ways to manage potential risks

● For first phase, compromise on data, not on licence

● Ensure data owners get credit for what they do

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Manage expectations, prepare for mistakes

“They are just tiny, tiny steps down the

road of transparency. We’re making a

small start next week. But eventually, it’s

going to make a big difference.”

“The information we’re publishing next

week won’t be perfect, it won’t always

be in the most convenient format, and

I’m sure there’ll be some mistakes. But I

don’t want to hang around making sure

everything is perfect – I want to get on

with it.”.

(28)

Photos: @memespring,

@MadLabUK, @paul_clarke

Continuously engage with developers

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It’s not (just) an IT project!

CIOs can give leadership, but

CIOs/IT Directors often do not “own” the data

Key issues are business, policy and politics:

don’t let policy makers brand it as “just IT”

Cloud technologies can be used to reduce

costs and scale capacity easily

Software

Lots of good Open Source available eg CKAN

Developing platform/tool market eg Socrata

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… and the biggest lesson of all

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Overcome obstacles

practically

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Next steps for UK

Policy/organisation

Right to Data - “FOI 2.0”?

Codify policy – currently out for consultation

Public Data Corporation for paid-for data

Delivery

Improve data quality

Industrialise release processes

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Wider Implications

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Government: key provider of reference data

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Questions?

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References

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