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
Powered by GitBook
On this page

Section 3. A user-centric approach to publishing

This section offers insights, tools and guidance for data publishers to meet the needs of data users more effectively and to encourage productive engagement with data users

PreviousPlay five: Plan for impact when designing your data initiativeNextUnderstanding the user journey

Last updated 2 years ago

This section covers three important aspects of a user-centric approach to publishing data:

  • developing an understanding of the user journey,

  • engaging effectively with data users, and

  • building communities around open data use

Use the tiles below to navigate to each sub-section.

Understanding the user journey

Engaging effectively

Building communities around open data use

Cover

Characteristics of an open data user community

Cover

The current landscape of open data user communities

Cover

Meaningful engagement with data communities

Cover

The Use Case

Cover

Understanding data user needs

Cover

Targeting intended audiences

Cover

A dynamic relationship - enhancing value between data publishers and data users

Cover

Effective two-way communication

Cover

From Data to Story