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 3. A user-centric approach to publishing

Building communities around open data use

It can be difficult for new data publishers to know where to look for data users, or to start building their own communities of practice around the data they publish.

PreviousFrom data to storyNextCharacteristics of an open data user community

Last updated 2 years ago

The ODI’s work with organisations which collect, maintain and publish data openly has taught us the . Often people who are working towards addressing socially important issues are working collectively, which means that data publishers need to understand how communities of users are formed and how those users work together, in order to effectively support them, and data users need to know where to find others who are working towards similar goals.

As part of our work in supporting user-centric data publishing, we have undertaken research to better understand the characteristics of different open data user communities. We have started mapping out the landscape of existing communities, to help data publishers and users find communities that align with their individual goals.

importance of good community engagement