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Data Governance Playbook
  • Health data governance: a playbook for non-technical leaders
    • Why data governance is important in healthcare
    • Who is this playbook for?
    • How to use this playbook
    • Other related resources
  • Index
  • Play one: Implementing data governance in healthcare
    • The value of data governance for data-informed healthcare projects
    • How to implement a data governance framework for a healthcare organisation or project
      • 1. Data assets
      • 2. People
      • 3. Policies and processes
      • 4. Standards and technologies
    • Resources relating to this play
  • Play two: Understanding and mapping health data ecosystems
    • Data ecosystems in healthcare
    • Data governance and trustworthy data ecosystems
    • Mapping the data ecosystem
      • Use case 1: Mapping the ecosystem of a Covid-19 symptom tracker in the UK
      • Use case 2: Identifying current stakeholders to reduce snakebite mortality and morbidity in India
    • Resources related to this play
  • Play three: Roles and responsibilities in health data governance
    • Roles involved in health data governance
      • Senior data leader
      • Health system leader
      • Policy leader
      • Health project partner
      • Governmental body
      • Senior executive leader
    • How to enlist support from stakeholders
    • Resources relating to this play
  • Play four: Making data interoperable
    • What is interoperability and how is it relevant to healthcare?
    • Standards for data and interoperability
    • Existing standards for data
    • Data adaptors
    • When to use an adaptor
    • Resources relating to this play
  • Play five: Demonstrating the value of health data governance: case studies
    • Primary care data use: MedMij platform
    • Using research data: INSIGHT Health Data Research Hub
    • Using healthcare data for other purposes: Infectious Diseases Data Observatory
  • Play six: Emerging uses of data and technology in the health sector
    • Emerging uses of health data
    • Emerging technologies to support health data management
    • Resources relating to this play
  • Play seven: Assessing the legal, regulatory and policy context for sharing health data
    • Data protection laws and policies
    • Intellectual property
    • Other regulations and laws impacting use of health data
    • Socio-cultural norms
    • Resources relating to this play
  • Play eight: Managing risks when handling personal data
    • Managing personal data responsibly and ethically in healthcare projects
    • What is personal data?
    • Data protection regulations
    • Recognising personal data in healthcare projects
    • Impacts from use of healthcare data
    • Minimising risk - practical approaches
    • Appendix: Risks from personal data exposure and how harms can be mitigated
  • Play nine: How to set up successful data sharing partnerships
    • Understanding how data sharing occurs in the health sector
    • A step-by-step guide to setting up successful data sharing partnerships
      • Step 1. Understand the purpose of sharing data, and with whom
      • Step 2. Define the principles that will guide how data is shared
      • Step 3. Build and maintain relationships with your data sharing partners
    • Appendix: International frameworks for data sharing principles
    • Resources relating to this play
  • Play ten: Sharing health data: data agreements and technologies
    • Common types of data sharing agreements
    • How to choose the best method of sharing data
      • Step 1: Decide how widely you need or want to share data
      • Step 2: Decide on the type of agreement required for sharing data
      • Step 3. Consider how technology can facilitate data sharing and access
    • Appendix: Choosing technology to support data sharing and access
    • Resources relating to this play
  • Play eleven: Cross-border data sharing
    • What is cross-border data sharing?
    • Current trends and global discussions on cross-border data sharing
    • Overcoming challenges with cross-border data sharing
  • How to support trustworthy data sharing: Checklist
  • Slides to communicate the benefits of data governance to key health stakeholders
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  1. Play one: Implementing data governance in healthcare
  2. How to implement a data governance framework for a healthcare organisation or project

4. Standards and technologies

Previous3. Policies and processesNextResources relating to this play

Last updated 3 years ago

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Standards and technologies help with curating, accessing, using, sharing and maintaining data assets and they are part of our data infrastructure. Standards for data are reusable agreements that make it easier for people and organisations to publish, access, share and use better quality data. Standards for data can increase interoperability of data; the ease with which systems work together. Interoperability is key to more effective, safe and secure use and sharing of standardised data within and across organisational boundaries.

Within healthcare projects, it is important to understand where standards can help with consistency, being able to repeat processes, making comparisons, or reaching a shared understanding.

Key questions to ask here are:

When collecting or using data, what standards can help ensure consistency? For example:

  • units of measurement that describe how quantities are measured, eg inches, centimetres or centigrade

  • attributes that are properties of people, places, events or things, and give us more information about them, eg a person’s name

  • codes or identifiers that identify people, places, events or things, eg postal codes, passport numbers or vehicle registration numbers.

When sharing data, what standards for data exchange do you need? For example:

  • formats that describe how data is structured for sharing or storage, eg file and data formats like csv, json and xml

  • data types that describe how values related to people, places, events or things are expressed, eg a person’s name is text, their age is a whole number

  • data transfers that define the rules on sharing, exchanging or providing access to information, eg an API to find some data, or complete a transaction.

Are there existing standards for data that you can reuse?

For guidance on standards and how to make data interoperable, see the section of the playbook.

Useful resources for standards and technology include:

  • At the , global health data leaders discussed and identified potential solutions to the challenges of implementing standards, solutions and infrastructure to increase the value of health data as a strategic asset. The website includes pre-reads and recordings of the two-day summit.

  • The helps people and organisations create, develop and adopt open standards for data. It supports a variety of users, including policy leads, domain experts and technologists.

  • The explores key elements of data interoperability and health information exchange.

data interoperability
WHO Health Data Governance Summit 2021
Open Standards for Data Handbook
HIMSS Interoperability in Healthcare Guide