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 4: Publishing guidance for new data publishers

Publishing data on the web

Publishing data doesn't have to be hard

PreviousTools and frameworks to help you assess open data qualityNextThank you

Last updated 2 years ago

Publishing open data can be as simple as uploading a file to a commonly used publication platform, such as , and then sharing the link with people. If you want to make open data available online in a minimum viable way and this meets the needs of your users, we recommend using – a popular code and data hosting site where you remain in control. If you are new to Github, register for an account at and then head to which is a tool created by the ODI that makes it easy to publish data on GitHub. Log in to octopub using your Github account and follow the to publishing a dataset.

You may instead want to publish data an existing open data platform. Many organisations, including most governments, have their own data platforms. There are also a number of community platforms such as , and that allow for user contributions. These platforms often have specific restrictions on the type or format of data you need to provide, but offer additional functionality for reusers.

For further guidance on where to publish data, check out our

If you are new to publishing data and don’t have an existing publication method, check out our guide to . Originally published to help others publish data that could be useful in addressing the Covid-19 pandemic in a quick and efficient manner, this checklist is also useful to data publishers that want to publish data openly, but don’t have a lot of capacity to do so.

Microsoft OneDrive
Github
github.com
octopub.io
step-by-step guide
data.world
AWS public datasets
OpenStreetMap
‘data publishing platforms’ resource list
‘Publishing open data in times of crisis’