White Paper APPA – Authorized Public Purpose Access: Building Trust into Data Flows for Well-being and Innovation
Summary
The white paper argues that current data-governance models over-rely on individual consent, leading to lost opportunities for public value, particularly in healthcare and longevity-related conditions like dementia. It proposes Authorized Public Purpose Access (APPA), a framework that permits data access for agreed public purposes without relying exclusively on explicit opt-in consent. The model balances three key factors: respect for human rights, the reasonable interests of data holders, and the realization of public interest. The authors suggest applying APPA to correct biases in current systems, such as 'individual bias' where excessive privacy protections hinder life-saving interventions, and 'data-holder bias' where commercial entities hoard data. The document envisions Japan as a showcase for implementing these solutions to address the challenges of a 'longevity society'.
Key insights
- Current data-governance models suffer from three primary gaps: inadequate personal protection due to an over-reliance on consent, increasingly restrictive regulations on commercial data-holding companies, and a general loss of opportunities to utilize data for its full potential.
- The document argues that obtaining consent is not a universal solution for protecting human rights, noting that terms of service are often too complex for users to understand and that some populations, such as those with dementia or in emergency care, have a diminished capacity to consent.
- A proposed effective data-governance model must balance three core components: consideration for individual human rights, the reasonable interests of data holders, and the creation of value in the public interest.
- Authorized Public Purpose Access (APPA) is defined as a model that allows data access for specific, agreed public purposes—such as improving public health—through processes that do not rely solely on explicit individual consent.
- The authors identify 'individual bias' as a problem where excessive focus on individual rights can harm the public interest or the individual themselves, citing the 2011 Great East Japan Earthquake where local governments declined to share personal information with NGOs due to a lack of consent, resulting in higher mortality for people with disabilities.
- The document describes 'data-holder bias' as occurring when commercial entities, such as the GAFA group, prioritize profit or hoard research results, which can conflict with competition laws and impair the public interest.
- The report suggests that Japan should serve as a global showcase for solving the problems of a 'longevity society', specifically targeting age-related conditions like dementia through enhanced data use.
Cite the original document
- APA
- World Economic Forum (2019). White Paper APPA – Authorized Public Purpose Access: Building Trust into Data Flows for Well-being and Innovation. http://www3.weforum.org/docs/WEF_APPA_Authorized_Public_Purpose_Access.pdf
- Chicago
- World Economic Forum. White Paper APPA – Authorized Public Purpose Access: Building Trust into Data Flows for Well-being and Innovation. 2019. http://www3.weforum.org/docs/WEF_APPA_Authorized_Public_Purpose_Access.pdf.
- Wikipedia
- {{cite report |author=World Economic Forum |title=White Paper APPA – Authorized Public Purpose Access: Building Trust into Data Flows for Well-being and Innovation |date=December 2019 |url=http://www3.weforum.org/docs/WEF_APPA_Authorized_Public_Purpose_Access.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}
- BibTeX
- @techreport{worldeconomicforum2019white, author = {{World Economic Forum}}, title = {{White Paper APPA – Authorized Public Purpose Access: Building Trust into Data Flows for Well-being and Innovation}}, institution = {World Economic Forum}, year = {2019}, month = dec, url = {http://www3.weforum.org/docs/WEF_APPA_Authorized_Public_Purpose_Access.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }
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