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Introduction to the guidebookAssessBuildDemonstrate
  • Foreword
  • Status of the Trustworthy Data Stewardship Guidebook
  • Introduction
    • Overview
    • Why trust and trustworthiness are important
    • Who this guidebook is for
    • How to use this guidebook
  • Assess
    • Introduction to assessing trust and trustworthiness
    • How to assess trustworthiness
      • Activity 1: Determine your organisational priorities
      • Activity 2: Document your data practices
      • Activity 3: Evaluate and define next steps
    • How to assess trust
      • Activity 4: Determine the role of trust within your ecosystem
      • Activity 5: Document your data practices within specific relationships
      • Activity 6: Engage with stakeholders to define next steps
    • Next steps
  • Build
    • Introduction to building trust and trustworthiness
    • How to build trust and trustworthiness
      • Active and positive impact
      • Engagement and accountability
      • Ethics and transparency
      • Financial sustainability and revenue generation
      • Governance and strategic oversight
      • Legal standing and compliance
      • Privacy and security
      • Quality and accuracy
      • Readiness and mitigation
      • Skills and knowledge
    • Next steps
  • Demonstrate
    • Introduction to demonstrating trust and trustworthiness
    • How to demonstrate trust and trustworthiness
      • Activity 7: Survey and select your evidence
      • Activity 8: Define your message and medium
      • Activity 9: Publish and promote your journey
    • How to publish a summary of your trustworthiness
    • Certifying trustworthiness
    • Next steps
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  • The Data Spectrum
  • Anonymisation is for Everyone course

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  2. How to build trust and trustworthiness

Privacy and security

Resources to help organisations protect the privacy of their employees, customers and partners; and ensure that any risks to data they collect, use or share are understood and managed

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Last updated 4 years ago

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  • helps you understand the language of data.

  • Through understanding the language of data, and knowing where data sits on the spectrum of open to shared to private, organisations can mitigate harmful use of data and build trust.

  • The Data Spectrum is a useful base resource for any organisation working with data.

  • Through understanding how and when to anonymise data, organisations can provide privacy and security to users and build trust.

  • This course is for decision makers such as compliance professionals, technical managers, product owners, and service managers who want to bring a structured approach to anonymisation to the projects they are leading.

course

introduces the latest thinking on anonymisation, and works through a practical exercise in anonymising data while maintaining utility and minimising risk.

Anonymisation is for Everyone
This two-hour course
The Data Spectrum
The Data Spectrum