User-centric data publishing (Alpha)
  • User-centric data publishing
    • Introduction
    • Who is this toolkit for?
    • How to use this toolkit
    • Dictionary of data terms
  • Contents
  • Section 1. Building the foundation for open data
    • A basic introduction to open data
    • Understanding our rights to access data
    • Open data maturity
      • Resources: Open data maturity
    • Ethics and transparency
  • Section 2. Planning for impactful open data initiatives
    • An introduction to the Data Landscape Playbook
    • Play one: Explore the problem and how data can address it
    • Play two: Map the data ecosystem
    • Play three: Assess the policy, regulatory and ethical context
    • Play four: Assess the existing data infrastructure
    • Play five: Plan for impact when designing your data initiative
  • Section 3. A user-centric approach to publishing
    • Understanding the user journey
      • The use case
      • Understanding different user needs
      • Targeting intended audiences
    • Engaging effectively with data users
      • Two-way communication and feedback
      • From data to story
    • Building communities around open data use
      • Characteristics of an open data user community
        • Purpose
        • Community enabler(s)
        • Collaborative method
        • Other observations
      • The current landscape of open data user communities
      • Engagement with data communities
    • Resources: User-centric publishing
  • Section 4: Publishing guidance for new data publishers
    • Open data licensing
    • The FAIR principles of data access
      • FAIR data assessment tools
    • Data quality and metadata
      • Tools and frameworks to help you assess open data quality
    • Publishing data on the web
  • Thank you
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  1. Section 1. Building the foundation for open data

A basic introduction to open data

What is open data and why do we care about it?

PreviousSection 1. Building the foundation for open dataNextUnderstanding our rights to access data

Last updated 2 years ago

The ODI's definition of open data is:

Data that anyone can access, use and share

In order to be openly available, data must be made available online, on the web.

Open data becomes usable when made available in a common, machine-readable format.

Importantly, open data must be licensed. Its licence must permit people to use the data in any way they want, including transforming, combining and sharing it with others, even commercially. There should be no limitations that prevent it from being used in any particular way.

For more detail about making data accessible, usable and shareable, check out

Making data openly available can bring a range of benefits to governments, businesses and civil society.

Open data can help make governments more transparent. It can provide the evidence that public money is being well spent and policies are being implemented. In 2015, the Government of Burkina Faso held its first truly free, open and transparent . The election marked the end of a political transitional period, restoring democratic order and providing the country with legitimate authorities.

Open data opens up new opportunities for businesses to create value for new and existing customers. In 2013, , centring on the value of combining open government data with shared data held by businesses. An in 2015 showed that about half used data from non-government sources, including other companies.

A great example of open data creating value for businesses is Transport for London's open data policy. In 2017, Transport for London (TfL) began to publish open data about public transport journeys, to enable third-parties to develop new products and services for commuters. It is estimated that for the UK economy.

Open data also helps us to create better social and environmental outcomes. In 2016, – the non-departmental public body responsible for physical activity in the England – worked in collaboration with the ODI to create – a community-led initiative using open data to get more people active, by making it easier to identify opportunities for sport and physical activity. The initiative came about as a response to new evidence that physical inactivity in the UK was contributing to an estimated 37,000 premature deaths annually and . As of right now, OpenActive is responsible for making data about 1.5 million opportunities for sport and activity more accessible, from abseiling to Zumba classes, at over 1,300 locations around the UK, including over 140,000 activities available for free.

For more information about the core definitions and principles of open data, check out the following resources:

Section 4: Publishing guidance for new data publishers
democratic presidential election
McKinsey valued the open data market at $3tn per year
ODI study of 270 UK companies
services built using TfL open data creates between £90m and £130m a year
Sport England
OpenActive
costing the UK economy around £20bn per year
‘About open data’ resources list