Dr Denise de Vries

Lecturer in Computer Science

College of Science and Engineering

place Tonsley (3.24)
GPO Box 2100, Adelaide 5001, South Australia
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.
Qualifications
PhD  Flinders University
BSc(Hons)   Flinders University
BCompInfSc University of South Australia
Honours, awards and grants

CRCAH Grant
Building workforce capacity to address complex health, housing and social inclusion issues through critical systems thinking and practice.

Teaching & Learning Innovation Grant
Embedding Indigenous Science, Mathematics and Engineering into CSEM topics.

eResearch Summer Scholarship Program

Our Digital Heritage: Preserving early Australasian software

Local Government Research and Development Scheme
Development of Participatory Decision Making Software

Knowledge Exchange Grant
Incorporating Indigenous Knowledge and Perspectives into Science and Engineering Teaching
http://csem.flinders.edu.au/thegoodstuff/IndigiSTEM/#

ARC Linkage Project
Play It Again: Creating a Playable History of Australasian Digital Games, for Industry, Community and Research Purposes

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

Research expertise
Computer software
Data format
Information systems
Other information and computing sciences
Research interests

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 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.
This middle-ground approach reflects the approach taken in research areas such as temporal, spatial and multi-dimensional modelling which argue for a flexible but unified way of handling common modelling problems.

Topic coordinator
ENGR8762 Networks & Cybersecurity GE
COMP3771 Advanced Database
COMP3721 Enterprise Information Security
COMP9721 Enterprise Information Security GE
COMP3782 Information Technology Project
COMP9771 Advanced Database GE
ENGR1762 Networks & Cybersecurity
Supervisory interests
Data integration
Data mining and knowledge discovery
Data semantics
Database evolution
Database modelling
Digital game preservation
Digital preservation
E-learning
Process modelling
Higher degree by research supervision
Current
Principal supervisor: m-Learning technologies (1), Data Mining (1), e-Learning technologies (1), Digital Preservation (1)
Associate supervisor: e-Learning technologies (2)
Completion
Principal supervisor: Business Process Modelling (1), Digital Games Preservation (1), Network Communications (1)
Associate supervisor: Digital games modelling (1), e-Commerce technologies (1), e-Government (1)
Publications
Expert for media contact
Computers
Data mining
Engineering - Computer Systems
Information systems
Internet
Technology
Data Mining and Knowledge Discovery
Database
Digital preservation
Information Security
Process Modelling
Available for contact via
Or contact the media team
+61 8 82012092
0427 398 713
Media expertise
  • Computers
  • Data mining
  • Engineering - Computer Systems
  • Information systems
  • Internet
  • Technology
Interests
  • Data Mining and Knowledge Discovery
  • Database
  • Digital preservation
  • Information Security
  • Process Modelling
Further information

Academia.edu

Consulting Hours:
Make an appointment at the School Office.

RHD Candidates

Completed

Honours Students