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Data Infrastructure for Common Challenges
  • Data Landscape Playbook
    • Data Landscape Playbook: status
    • What is this playbook for?
    • Who is this playbook for?
  • Play one: Explore the problem and how data can address it
    • Define how improving access to data can help address your problem
    • What type of data infrastructure does the initiative aim to create or maintain?
      • Build or manage data assets
      • Create or adopt data standards
      • Build or improve technologies
      • Create guidelines and policies
      • Build or support organisations and communities
    • Carry out initial research and engagement
    • Summary of Play One
  • Play two: Map the data ecosystem
    • Engage with key stakeholders
    • Create an ecosystem map
    • Identify gaps, barriers and opportunities
    • Summary of Play Two
  • Play three: Assess the policy, regulatory and ethical context
    • Understand the legal, regulatory and policy context of the initiative
    • Understand the ethical issues impacting your initiative
    • Summary of Play Three
  • Play four: Assess the existing data infrastructure
    • Make a data inventory
    • Assess open standards for data
    • Assess data skills and literacies
    • Summary of Play Four
  • Play five: Plan for impact when designing your data initiative
    • Plan an impactful initiative
    • Identify risks, assumptions and dependencies
    • Sketch your evaluation framework
    • Summary of Play Five
  • What comes next?
  • Acknowledgements
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  1. Play one: Explore the problem and how data can address it
  2. What type of data infrastructure does the initiative aim to create or maintain?

Create or adopt data standards

PreviousBuild or manage data assetsNextBuild or improve technologies

Last updated 4 years ago

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Standards are an important element of a strong data infrastructure and allow organisations to curate and improve access to data assets. A data standard is a reusable agreement, which helps us to steward data in a more consistent way.

Data standards can create a number of benefits if widely adopted. They can help people to adopt the same vocabulary and language using common models, attributes and definitions. Data standards can enable a better exchange of data within and between organisations using common formats and shared rules. Standards can also provide guidance and recommendations for sharing better quality data and understanding processes and the flow of information.

In 'Play four: Assess the existing data infrastructure’ we take a deeper dive into helping you .

Some examples of data access initiatives developing data standards include:

  • – UK activity providers such as gyms publish live data feeds for opportunities to be physically active, such as spin classes, under an open licence, using a common data model and application programming interface (API) standard

  • – governments around the world publish openly licensed datasets describing public procurement tenders and contracts to the same data standard

  • – the Latin American Initiative for Open Data (ILDA) created this regional femicide standard to support governments in collecting and publishing quality and standardised data on femicides to inform better public policies

adopt or build open standards for data
OpenActive
Open Contracting Partnership
Femicide Data Standardization