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
  2. Building communities around open data use

Engagement with data communities

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Last updated 2 years ago

To develop the dynamic relationship between data publishers and data users, we need to think about not just the user's engagement with the data and data platforms, but also engagement with those who steward the data.

Considerations for engaging data user communities:

  • Aims: to attract new audiences, to raise awareness of your data service/platform/publications, to stimulate new ideas for the data, or to gain feedback and suggestions for improvement.

  • Methods: comments and engagements on blogs, promotion on consumer support channels, raising awareness on community web pages and forums, and live discussions on social media platforms.

Examples of data community engagement for social good

  • Data.Org Resource Library. Guides to help you understand why your organisation should leverage data for social impact and how to get started.

  • Carbon Brief’s Global South Climate Database is a publicly available, searchable database of scientists and experts in the fields of climate science, policy and energy.

PODCAST: The importance of community engagement to data collaborations

In this podcast, host , Senior Consultant at the ODI, has a conversation with Laureen van Breen, Managing Director at WikiRate; Kisha Bwenge, Senior Community Building Manager at the Open Contracting Partnership; and Tim Robertson, Head of Informatics at Global Biodiversity Information Facility (GBIF).

They discuss their experiences of the ODI Microsoft peer-learning network, an initiative which aims to give data collaborations working on significant societal challenges the opportunity to share and learn from each other.

Podcast link:

https://data.org/library/
https://www.carbonbrief.org/global-south-climate-database/
James Maddison
https://www.theodi.org/article/podcast-the-importance-of-community-engagement-to-data-collaborations/