Google Umbono Workspace

Human Centred Data Management

About the Human Centred Data Management Node

Data management is a central enabling technology, vital for most uses of IT systems to deliver useful services. Data management systems will work much better when they take account of the cognitive and physiological characteristics of the people involved, whose needs determine the goals for the system, and who must provide the input and who need to work effectively with the output. These concerns are especially important when the data in the system is about the people concerned, when personal privacy and transparency requirements have to be balanced too. Recent technology trends (such as touch screens, motion detection, and voice recognition) are widening the possibilities for users to interact with systems, and many information-provision industries are shifting to personalized processing to better target their services to the users’ wishes. This node will focus on how data management can be done with awareness of the people and their data who form part of the processes.
Image credit: Google Umbono Workspace by Haldane Martin via Creative Commons Attribution 2.0 Generic licence.

Recent Projects

Automatic Fault Detection and Analysis for DBMSs

The diagnosis of faults and fixing of bugs is a major part of any large DBMS project. In this project we work on the design and implementation of a system for the automatic detection and localisation of bugs in DBMSs. We explore the benefits of using stack traces to diagnose faults compared to traditional logging systems; And the different techniques that can be used to collect information and present it… more

Clustering display for provenance data

As digital objects become increasingly important in people’s lives, people may need to understand the provenance, or lineage and history, of an important digital object, to understand how it was produced. This is particularly important for objects created from large, multi-source collections of personal data. As the metadata describing provenance, Provenance Data, is commonly represented as a labelled directed acyclic graph, the challenge is to create effective interfaces onto such… more

Data Privacy in Cloud Computing

User Awareness and Policy Compliance of Data Privacy in Cloud Computing. This research studied the data privacy issues in cloud computing from an Australian perspective, with focus on two aspects i.e. policy compliance and user awareness. As cloud computing gains traction, its growing use calls for a more in-depth study into the technology’s privacy implications for users. Among the expected outcomes of this research include the revelation of privacy loopholes… more

PBrowse – A Collaborative Genome Browser

In this project, we are developing a collaborative genome browser that allows a team of scientists to browse and annotate a shared genome data set collaboratively via a web browser interface, including a facility for text-based interaction (chatting). Honours Project Image credit: Human Genome by Tom Purcell via Attribution-NonCommercial 2.0 Generic licence. more

TouchSQL

The aim of this project is to assess whether the unique features of touch interfaces can enhance the usability of database systems for novice users. Usability, particularly for average computer users, is a major topic in the database community, and touch interfaces may represent a powerful new avenue for designers and researchers to pursue. To this end, the goal we have developed a visual query language for relational databases that… more

Leaders

A/Prof Uwe Roehm

Information Technologies

Data management, database usability and data privacy
uwe.roehm at sydney.edu.au

Members

Prof Alan Fekete
Dr Ralph Holz
Dr Bryn Jeffries
A/Prof Bob Kummerfeld