Dementia affects about 44 million individuals today, a number that is expected to nearly double by 2030 and triple by 2050. With an estimated cost of 604 billion USD annually, dementia represents a major growing economic burden for both industrial and developing countries, in addition to the significant physical and emotional burden it places on individuals, family members and caregivers.
Currently, neither a cure for dementia nor a reliable way to slow down its progress exists. Improving prevention and diagnosis, and discovering potential ways of treatment and cure requires better understanding of the mechanisms underlying neurodegeneration. However, these mechanisms are complex, and influenced by a range of genetic and environmental influences that may have no immediately apparent connection to brain health.
At the core of dementia research are data obtained purposively in medical settings, such as images; clinical, genetic, proteomic and biological data; and cognitive tests or surveys. Big data approaches to research add new types of data and ways of analysing them to this repertoire, including data from electronic medical records, registries and other routine health data, from online patient platforms, but also from retailers and mobile phone providers for social and lifestyle insights.
Both broad data (relating to the number of individuals represented in a dataset) and deep data (an indication of the number of measures and granularity of those measures related to each individual) are part of the big picture for dementia research. Both of these types of data represent challenges for researchers in terms of generating, linking, using and sharing data in a way that respects individual rights to privacy without unnecessarily constraining dementia research.
In December 2013, the G8 Global Dementia Summit in London identified the better use of available data, resource sharing and researcher collaboration as key priorities. With the ambition to find a cure or disease-modifying therapy by 2025, the G8 health ministers mandated the OECD to report on how big data can be used and shared more efficiently for dementia research.
This project is one part of that OECD work, and is aimed at a wide audience of policymakers, funders, the private sector and researchers. The results will be reported to the World Dementia Council and presented to the G7 health ministers at the First WHO Ministerial Conference on Global Action Against Dementia in Geneva on 16-17 March 2015.
Deetjen, U., E. T. Meyer and R. Schroeder (2015), “Big Data for Advancing Dementia Research: An Evaluation of Data Sharing Practices in Research on Age-related Neurodegenerative Diseases”, OECD Digital Economy Papers, No. 246, OECD Publishing, Paris.
Senior Research Fellow
Project role: Co-Investigator
Ralph Schroeder has interests in shared virtual environments and the sociology of science and technology. His current research is related to digital media and populism, climate change online, AI and social theory, and the internet in China and India.
Senior Fellow
Project role: Principal Investigator
Eric T. Meyer is a Senior Fellow of the Oxford Internet Institute. His research looks at the changing nature of knowledge creation in science, medicine, social science, arts, and humanities as technology is embedded in everyday practices.
Former MSc Student
Ulrike Deetjen (née Rauer) researched the influence of the Internet on healthcare provision and health outcomes.
