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

Understanding our rights to access data

It is helpful to think of data as existing on a spectrum of rights relating to how we can access it, from closed, to shared, to open

PreviousA basic introduction to open dataNextOpen data maturity

Last updated 2 years ago

As discussed in , open data is data that is available for anyone to access, use and share. It is published under an open licence that allows it to be used for any purpose. Some data cannot be made open because it contains sensitive information about individuals or groups. It may still be possible to share that data with specific organisations, so long as there are appropriate safeguards in place.

Shared data is data that is only available to certain people or groups, such as researchers. Data that is shared will typically be made available for specific purposes that are defined by, for example, a data sharing agreement. There are many ways in which data can be made accessible, or ‘shared’, with others.

Closed data is data that is held privately within an organisation, like employment contracts and policies, or sales reports.

We believe that if data is made as open as possible – while protecting privacy, confidentiality and security – it will contribute to a world where everyone can collaborate around data to make better decisions, improve efficiency and even help tackle some of the world’s most pressing societal challenges.

the previous section
The Data Spectrum, Open Data Institute