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 2. Planning for impactful open data initiatives

Play four: Assess the existing data infrastructure

As part of their efforts in collecting, using and sharing data to tackle specific problems, data access initiatives need to build or maintain strong data infrastructure

PreviousPlay three: Assess the policy, regulatory and ethical contextNextPlay five: Plan for impact when designing your data initiative

Last updated 2 years ago

To effectively publish open data, you may need to work with other organisations which are creating new data assets, developing or reusing open standards, creating guidance and policies to make better decisions to address sector-specific challenges, or building new technologies to support the management and use of the data. Alternatively you might undertake some of these activities on your own.

In , we went into depth about the type of data infrastructure your initiative might be building, improving and maintaining, including:

  • Data assets (such as datasets, identifiers and registers)

  • Standards and technologies used to curate and improve access to data assets

  • Guidance and policies that inform the use and management of data assets and the data infrastructure

  • Organisations that are responsible for stewarding data

  • Communities involved in contributing or maintaining data infrastructure, and those who are impacted by decisions that are made using it to tackle a specific problem

In , we provided guidance on how to identify organisations stewarding data and communities involved in, and impacted by, the building of data infrastructure to tackle the problem. In , we recommended steps to assess policies governing the use and management of data. In this play, we provide guidance on how to assess data assets, standards and skills to improve access to data. If you are interested in what technologies could help your initiative, you should check out our research looking into the.

Assessing existing data infrastructure and deciding whether your initiative needs to provide or strengthen tools that might tackle the problem includes thinking about how this data will be managed, collected and shared.

Activities in this play include:

By the end of this section you should be able to:

  • Assess skills and literacies of the initiative

  • Evaluate the available data assets and standards to tackle the problem

Making a data inventory
Adopting or building open standards
Assessing skills needed to strengthen or build data infrastructure
'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'
common technical infrastructure of shared and open data
The Data Skills Framework - Open Data Institute