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
  • 5-stars of open linked data
  • Open Data Certificates
  1. Section 4: Publishing guidance for new data publishers
  2. Data quality and metadata

Tools and frameworks to help you assess open data quality

There are two key resources which we'd recommend you utilise when thinking about assessing open data quality

PreviousData quality and metadataNextPublishing data on the web

Last updated 2 years ago

5-stars of open linked data

Sir Tim Berners-Lee, the inventor of the World Wide Web and one of the ODI’s founders, suggested that there is a '5 step' deployment scheme for open data, referred to as the . This framework helps data publishers to consider the legal and technical marks of quality in open data.

The 5–stars scoring system is as follows:

⭐ - Be available on the Web, in any format, under an open licence

⭐⭐ - Be in the form of (eg Excel instead of an image of a table)

⭐⭐⭐ - Be in a non-proprietary file format (eg CSV file instead of Excel)

⭐⭐⭐⭐ - Use to identify internet resources

⭐⭐⭐⭐⭐ - Link your data to other data to provide context

Open Data Certificates

To support publishers with assessing the practical, legal, social and technical markers of data quality, we provide a tool called . This free online tool helps you assess and recognise the sustainable publication of quality open data against established best practice guidance.

'5-stars of open linked data'
structured data
URIs
Open Data Certificates
Open Data Certificates logo - Open Data Institute