Data Science Lab
Data Science Lab is a supplement to Statistics Denmark's existing microdata schemes and enables projects that cannot be implemented within the normal framework.
Data Science Lab is Statistics Denmark's laboratory for testing new advanced methods and new data sources.
We help researchers and analysts to exploit the full potential of Danish register data - combined with modern methods, such as machine learning and AI, or new data sources - in a secure and confidential environment.
What is Data Science Lab?
Data Science Lab was established to strengthen the use of:
- New advanced methods (e.g. machine learning and AI)
- New data sources (e.g. text, images, and geolocations)
We function as a supplement to Statistics Denmark's existing microdata schemes and enable analyses that cannot be implemented within the normal framework.
We collaborate with both Danish and international researchers and analysts.
What can we offer?
As collaborators in Data Science Lab, you get access to a unique environment where data, methods, and security go hand in hand.
Unique and secure data environment
- Secure access to Danish register data
- Connection to HPC facilities (e.g. the AI supercomputer Gefion)
- Possibility of using new data sources (e.g. text, images, geodata)
Advanced methods
- Possibility to develop and train ML and AI models on microdata
- Analysis of large and complex datasets
Professional sparring
- Close collaboration with data experts at Statistics Denmark
- Statistical consultancy
In short: We make it possible to carry out projects that would otherwise not be possible.
Examples of projects
Since its establishment, Data Science Lab has contributed to a number of research projects that demonstrate the potential of combining register data with new methods.
Nation-Scale Social Networks
The project investigates how information about an individual's social network can contribute to understanding differences in important life outcomes, such as educational and employment history, wealth, and crime. The project has built a register-based network of relationships between all individuals in Denmark from 1980 onwards. The network includes family, household, neighbour, school, and work relations. It opens up completely new analyses of social dynamics and life courses and forms the basis for advanced models of human life trajectories.
Results have been published in, among others:
Big life-course data analytics for understanding disease initiation and progression in diabetes and its complications
The project investigated how diseases arise and develop throughout life – with a particular focus on diabetes. By analysing all diseases together, the project provides new insight into the transition from health to disease and the different pathways that can lead to chronic diseases.
Results have been published in, among others:
Harnessing the power of big data to address the societal challenge of aging
The project contributed to a better understanding of the ageing process and how to promote healthy ageing, using Danish registry data and new advanced methods.
Results have been published in, among others:
Do you have an idea for a project?
Do you have an idea for a project, would you like to hear more about the possibilities for collaboration, or do you need help clarifying whether your project best fits with us or under one of our microdata schemes?
Please contact us for a non-committal talk.