📊
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
Powered by GitBook
On this page

Was this helpful?

  1. Play seven: Assessing the legal, regulatory and policy context for sharing health data

Intellectual property

PreviousData protection laws and policiesNextOther regulations and laws impacting use of health data

Last updated 3 years ago

Was this helpful?

When you put intellectual effort (thought) into creating something, such as a story, an invention, an artistic work, a symbol or a collection of data, you own that work and you have certain rights. This is known as intellectual property (IP). If you have ownership (IP) of a work, and someone else wants to use it, they have to ask your permission.

Intellectual property can:

  • have more than one owner

  • belong to people or businesses

  • be sold or transferred.

Each country is likely to have specific laws that govern the IP of data or data infrastructure. For example, data collected by commercial organisations as part of their investment in clinical trials research for new therapeutic interventions may be covered by IP laws. The use of international health data standards, as a part of data infrastructure, may include specific licensing requirements, which are governed by these IP laws.

Key questions to ask:

  • Which are the existing IP rights associated with the health data to be collected, accessed, used or shared?

  • Is there any IP legislation that may be relevant to the collection, sharing and use of health data?

  • What is the IP legislation governing the ownership of any output and/or deliverables arising from health projects?

  • Are there any published data sharing agreements in place that show how others have addressed IP agreements between data sharing stakeholders? Are there any IP considerations related to insights or model generation resulting from third party research? What can you learn from these examples?

Useful resources:

Recent research in Europe has looked at to sharing data between private companies and governments, in a way that preserves commercial advantage and IP, while enabling public good. These emerging approaches may be worth reviewing when considering IP laws and their impact on data sharing projects.

The can be used to assess IP protection regulations.

national approaches
WIPO IP Portal