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Software is available at:

http://code.google.com/p/quon/

http://ands.newcastle.edu.au/quon

Software categories:

Fields(e.g. applications for archaeologists or for researchers who collect survey data.)

Project Members:

A/Prof Frans Henskens (Lead Researcher, Data Source Administrator, Frans.Henskens@newcastle.edu.au)

ANDS Contact:

Alan Glixman (Alan.Glixman@ands.org.au)

Project Status:

Completed

Data Capture for the Data Commons

University of Newcastle

Collaborator(s): The University of Newcastle, Distributed Computing Research Group, and, Health Behaviour Research Group.

Project Description:

This project produced a web-based system by which researchers can define and conduct surveys, and then easily publish the existence of the survey dataset in Research Data Australia (RDA). The system is entitled QuON, and at present is largely being used by researchers in the area of health sciences. QuON supports a range of survey question types, and supports definition of complex branching conditions so that participants’ navigation of the survey can be made dependent on previous responses. The kinds of researcher-participant interaction is intentionally generic, so QuON is not aimed at any particular research discipline and is suitable for use in conducting any survey.

Data Type:

"Individual variables (demographic charactertistics, disease and treatment factors, phychological characteristics) Social variables (patient's social network) Treatment center variables (structures and proesses of care)"

High Level Software Functionality:

It is recognised that there exist other web-based survey systems. The benefits of QuON include:
• The ease of publication of existence of the survey dataset in the RDA, enhancing use of the collected data and possibilities for collaboration between researchers and groups.
• The rich set of question types, and the possibility for creation of new question types as they are required.
• The powerful branching feature that allows creation of surveys that are tailored to individual participants.
• The ability to perform behind-the-scenes calculations using already-collected participant data, and to use the results of such calculations in future questions and branch conditions.
• The ability for researchers to retrieve the collected data in raw form suitable for immediate ingestion into statistics packages for analysis.
• Support for participants’ use of portable hand-held devices as well as more traditional laptop and desktop computers.
• The ability for groups and institutions to set up their own local QuON installation site through which their researchers and participants interact, and at which their data is collected.

ANZSRC-FOR code:

08 INFORMATION AND COMPUTING SCIENCES