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Public Health Research

Research guide to public health.

Learning to Deal With Data

Data and Public Health

High quality health data is crucial to inform policies, budgets and plans for improved health access and impact....

-World Health Organization (WHO), Health Data as a Global Public Good

Not all data is good data. Medical data, in particular, has high ethical and privacy standards it must meet. WHO lists the following as necessary when using data for Public Health analysis:

Effective: the use of health data should have a clear and transparent aim to improve public health. Health data sharing should be timely and as open, transparent and inclusive as is possible, build on existing good practices, adopt common standards to encourage interoperability and reduce unnecessary duplication. Any approach to health data use should improve the quality and reliability / integrity of the use of data and apply the FAIR principles to ensure data is findable, available, interoperable and reusable.

Ethical: the use of health data and any data governance solution must uphold the highest standards of data protection and respect for human rights, balancing the trade-offs between individual rights to privacy with the collective benefits of open and transparent health data.   

Equitable: the use of health data should recognise and balance the needs of all stakeholders. This requires equitable and inclusive approaches to support data collection, generation, access, use and a fair sharing of the benefits that arise from the use of data. The people and communities about whom data is gathered, and who are affected by its use should be actively involved in creating an equitable governance model to promote the achievement of public health goals as outlined in the UNSDG Human Rights Based Approach.

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