Since 2018, I am working as an assistant professor at the Living Lab in Ageing and Long-Term Care AWO-L, part of the Maastricht University. Our Living Lab was established by Maastricht University in 1998. To date, Maastricht University, nine large long-term care organisations, Gilde Intermediate Vocational Training Institute, VISTA College (secondary vocational education) and Zuyd University of Applied Sciences participate in this Living Lab. Our mission is to improve by means of scientific research: (1) quality of life for older people and their families; (2) quality of care; and (3) quality of work for those employed in long-term care (Verbeek et al., 2019)

My research line is primarily focused on the use of data accumulated in long-term care for older adults. With the use of innovative, data-driven explorations we can increase our knowledge on quality of care, quality of life and quality of work in long-term care for older adults.

Questions that interest me and that are related to my research line:

• Which role can data (and the analyses thereof) play in studying quality: i.e. how can these types of data improve the quality of care, quality of life and quality of work in long-term care for older adults?
• How can we create a learning environment/network regarding ‘data-informed care’ in our long-term care organisations?
• How can text-mining support and deepen our understanding on quality of care, quality of life and quality of work in long-term care settings? For example by analysing electronic health records.
• How can we combine data from various sources (e.g. electronic health records, sensors, wearables etc) in order to acquire innovative insights, for example related to challenging behavior of cliënts?