Linking data – improving lives

‘Big Data’ and its potential to improve health and society is much discussed across the world. Linking disparate population-scaled datasets together is a key technique in the production of powerful new data resources that can illuminate, evaluate and steer policy and practice right across society.

However, with this work comes the responsibility to build trustworthy and well-governed approaches that safeguard privacy at all times. Opportunities for new infrastructures and architectures present themselves, new analytical techniques are needed, and a cadre of people equipped with a new blend of skills is required.

This unique conference is designed to provide researchers, policy makers, practitioners, administrators, regulators, and data guardians opportunities to learn more about the cutting edge work that is underway across the world, together with a chance to showcase their own achievements, and listen to talks from international leaders in the field.

Conference sub-themes

• Analytical approaches to distributed data
• Data and linkage quality
• Advanced analytics
• Privacy, regulation & governance
• Applied projects
• Linking to emerging data types
• Public engagement
• Capacity building
• Delivering and measuring impact

Who should attend?

Data Analysts who use large linked datasets to help understand society, human health, and well-being, including:

• Researchers and analysts in universities, the private sector, non-for profit and community organisations
• Public policy makers in local and national governments

Those who enable the use of linked data, including:

• Technical experts working on linking, merging and preparing large complex datasets
• Technologists and statisticians developing new analytic methods
• Privacy, Information Governance and regulatory experts

Users of the results of linked data analyses, including:

• Leaders of organisations interested in social policy, health and human development
• Leaders in industry that develop products and knowledge in these areas

Students aspiring to work with linked data

Click here for more information and to register