Dementia Research and Care : Can Big Data Help?.

Foreword
 Acknowledgments
 Table of contents
 Acronyms and abbreviations
 Executive summary
 Chapter 1. Broad and deep data for dementia: Opportunities for care and cure, challenges and next steps
 1.1. What are the opportunities and challenges in linking broad and deep data?
 1.2. Are the data available and useable?
 1.3. What will be the best way to build trust?
 1.4. How can we benchmark performance to make progress in dementia care?
 1.5. Data-driven health innovation: Next steps for Canada, the OECD, and the world
 Note
 References. Chapter 2. The critical and complex challenge of dementia: Why governments must use big data to respond to the challenges of dementia2.1. The challenge
 2.2. Government responses to the challenge
 2.3. Opportunities for government to support the creation of better big data
 2.4. Privacy and confidentiality
 2.5. Support for research data collection and the capacity to use data
 2.6. Research policy and dementia
 2.7. Moving forward
 Notes
 References
 Chapter 3. Big data approaches to dementia: Opportunities and challenges
 3.1. Introduction. 3.2. Anticipated outcomes and benefits of big data approaches3.3. Gene-environment interaction: Genomics and exposomics
 3.4. Information types and information sources for big data experiments
 3.5. Limitations and challenges
 3.6. Examples of national approaches
 Note
 References
 Chapter 4. Opportunities for businesses, foundations and stakeholders
 4.1. Introduction
 4.2. The dementia therapeutics discovery problem
 4.3. The \"BHAG --
Big Hairy Audacious Goal\" for big data in dementia research
 4.4. \"Base camp\" for big data in dementia research
 4.5. Specific opportunities
 4.6. Opportunities. NoteReferences
 Chapter 5. How we can work together on research and health big data: Strategies to ensure value and success
 5.1. Introduction
 5.2. Organisation of science
 5.3. Principles of development
 5.4. New value proposition: Moving from silos to systems
 5.5. Practical suggestions to make it succeed
 5.6. Threats to success and methods of mitigation
 5.7. Next steps
 Note
 References
 Chapter 6. Governing health data access and privacy: OECD experiences
 6.1. Introduction
 6.2. High-value data describes health care pathways and outcomes. 6.3. Optimal decision making requires a data governance framework that maximises societal benefits and minimises societal risks6.4. Eight governance factors maximising societal benefits of data use while minimising societal risks
 6.5. Next steps at the international level
 Notes
 References
 Chapter 7. Benchmarking system performance in caring for dementia
 7.1. Introduction
 7.2. Assessing performance of dementia care systems
 7.3. Using the system performance framework for dementia care systems to map current indicators.