open data and government: putting the challenges first with dawn duhaney

8/20/2019 Open Data and Government: Putting the Challenges First with Dawn Duhaney

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Aim

Understand how releasing government op

can be used to solve challenges, and notmeet targets.


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Learning outcomes

By the end of the session you will be able to:

● Identify different types of government open data sets

● Categorise different government open data sets

(according whether they can be used to solve challenges,

or meet targets)

● Recognise challenges where releasing government open

data could be beneficial


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Hello

• Who are you?

• What do you do?

• What was your first experience of

open data?

• What do you hope to get out of

today?


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What is open data?

Open data is data that is availablefor anyone to access, use and share


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What are some examples of

government open datasets?

Two minutes:

● Divide into groups

● Write down as many answers on

individual post-it notes

● One person from each group to call back


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Are the following examples of

government open datasets?

1. Office of National Statistics

● Regional household income

2. UK Government

● Policy data

3. Department of Business, Innovation and Skills

● VAT registered businesses


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What are some

examples of

government open

datasets from around

the world?


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● Health: Statistics on obesity, physical activity and diet

● Education: Apprenticeship completion

●

Transport: Active MOT vehicle testing


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154 datasets released

Examples:

● Permits for operators of waste data

● Addresses of company communications services


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From the examples of

government datasets that we

identified earlier:

● What was covered?

● What was not?

● Why?


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How can we categorise some government open data

● By-product of existing government services

● Potential high value, high impact datasets


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Targets and government

open data initiatives

Push and pull factors

● International instruments

○ Open Government Partnership

● Internal resistance and lack of understanding

● Prioritisation of data


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How can open data be

categorised?

How could we categorise the government open data sets

we identified earlier?

Either to solve challenges or to meet targets?

Five minutes:

● In same groups● Divide paper into 2 sides, categorise datasets on

post-it notes

● One person from each group to share


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Water point mapping in

Kenya


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Water point mapping in

Kenya

Problem

● Ministry of Environment wanted to improve

evidence base to kickstart investments in

water pipelines in rural areas

Method

● Mapping 8,000 datasets across 8 counties in

Kenya


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Water point mapping in Kenya


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Putting challenges first with

open data

10 minutes:

● What challenges do the data sets you have listed

help solve?

● Are there any challenges that you have that you

could be solved by data that hasn’t been

mentioned?

● What data would you need to be opened?

One person to call back from group


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How can governments ensurethat data released helps to

solve challenges?

Ingredients for Open


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Data Success (1)1. Articulate a clear and practical vision

2. Develop and maintain support acrossgovernment

• Political will

• Senior officials on board

• Individual frontline champions – incentives andrewarding success

3. Create cultural change champions

• Who will be responsible for guiding through

cultural change?



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Data Success (2)4. Create systems to encourage feedback: internal

and external

• Who are you relying on to use your data? How canyou help develop those communities?

• How will data users easily and regularly providefeedback?

5. Embed quick wins in a long-term strategy

6. Know what success looks like, and how you willmeasure it.

• How will you measure progress as you go?



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Data Success (3)

7. Plan for change: be agile and respond toshifting opportunities and needs

• Does your plan have space for adjustments?

• What are the right times to review the opendata strategy?

8. Give communities inside and outsidegovernment opportunities to keep learning

• Who will need avenues for training anddevelopment as plans progress?


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Learning outcomes

By the end of the session you will be able to:

● Identify different types of government open data sets

● Categorise different government open data sets

(according whether they can be used to solve challenges,

or meet targets)

● Recognise challenges where releasing government open

data could be beneficial


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Resources

Open data in government, How to bring about change:

https://theodi.org/open-data-in-government-how-to-bring-

about-change

Open data in Macedonia, from legislation to engagement:

https://theodi.org/case-studies/case-study-a-pr ofile-of-open-

data-initiatives-in-macedonia

Kenya open data, water point mapping:

http://blog.opendata.go.ke/?p=39

Open Data Barometer:

http://www.opendatabarometer.org/report/analysis/index.html

http://www.opendatabarometer.org/report/analysis/index.htmlhttp://blog.opendata.go.ke/?p=39http://blog.opendata.go.ke/?p=39https://theodi.org/case-studies/case-study-a-profile-of-open-data-initiatives-in-macedoniahttps://theodi.org/open-data-in-government-how-to-bring-about-changehttp://www.opendatabarometer.org/report/analysis/index.htmlhttp://blog.opendata.go.ke/?p=39https://theodi.org/case-studies/case-study-a-profile-of-open-data-initiatives-in-macedoniahttps://theodi.org/case-studies/case-study-a-profile-of-open-data-initiatives-in-macedoniahttps://theodi.org/open-data-in-government-how-to-bring-about-changehttps://theodi.org/open-data-in-government-how-to-bring-about-change


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open data and government: putting the challenges first with dawn duhaney

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