Dr Denise de Vries has, since the early 1980s, developed commercial complex database systems for a variety of industry domains including local government, airline, public libraries, para-medical, diet and nutrition, commercial cleaning, automotive parts manufacturing, building and construction, inventory control, conference organisation and commercial photography.

Based on this industry experience she researches techniques to preserve digital history and data semantics including techniques to deal with changes to information in a database such as structural change, semantic change and constraint change.

Dr de Vries' research focuses on digital preservation. She is the lead researcher in the Computer Archaeology Laboratory. Computer Archaeology is the science of recovering computer data encoded and/or encrypted in now obsolete media or formats. It is not merely data recovery, it is ensuring data intelligibility. One may recover the data, but not access it or understand its content. Successful computer archaeology renders the data intelligible. She is a member of Medical Device Research Institute (MDRI) and Centre for Knowledge and Interaction Technologies (CKIT).

Digital Heritage and Preservation
Play It Again: Preserving Australian videogame history of the 1990s, ARC Linkage, 2019 - 2021
Archiving Australian Media Arts: Towards a method and national collection, ARC Linkage, 2019 - 2021
Play It Again Creating a Playable History of Australasian Digital Games, for Industry, Community and Research Purposes", ARC Linkage, 2012-14
Facebook , @AgainPlay, Play It Again blog

Computer disk collections at the State Library of South Australia: Creating disk images of born digital content

Australasian Digital Heritage documenting Australasian software development and digital artefact creation. Facebook

Research methods for preserving source code and data from 1970s and 1980s. Digital Heritage Blog, ourdigiheritage

Data Mining Projects

• Breast Cancer and Lymphoedema
  To discover associations, if any, between the two conditions and outcomes.

Mesodata: Engineering Domains for Attribute Evolution and Data Integration
This research focuses on the utility of augmenting the information capacity of the attribute domain in a reusable and systematic manner.
This is done by more clearly delineating between domain definition - mesodata - and schema definition - metadata.