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Software is available at:

http://code.google.com/p/ohrm-additional-functionality

Project Members:

Owen O'Neill (ooneill@unimelb.edu.au)

Johanna Wyn (j.wyn@unimelb.edu.au)

Hernan Cuervo (h.cuervo@unimelb.edu.au)

ANDS Contact:

Richard Ferrers (richard.ferrers@ands.org.au)

Project Status:

Completed

Youth Research Centre's Life Patterns Project: Longitudinal qualitative and quantitative survey data capture and reuse

University of Melbourne

Collaborator(s): VeRSI

Project Description

Final: "The Youth Research Centre’s Life Patterns Research Program at the University of Melbourne maintains an extensive qualitative and quantitative database on a cohort of 2000 young Australians who left secondary school in 1991 and of a second cohort of 4500 who left school in 2005. With ARC funding through to 2014 for annual quantitative and qualitative data capture for the second cohort (Gen Y) and biannual data capture for the first cohort (Gen X), this research data collection describes longitudinal case studies on young people’s life trajectories.

The project resulted in the implementation of a local system and related workflows and practices to describe the collection. Metadata about the Life Patterns Research Program is now exported to the University Research Data Registry and harvested to Research Data Australia.

Previously, the Life Patterns program was reliant on storage of data on a public server within the Melbourne Graduate School of Education and the central IT system within The University of Melbourne. This limited access and synthesis of data created some limitations in presenting scope of the program and data related to the research program to interested research collaborators. The resultant information organization and data linkages developed through the project has informed the Life Patterns research team about the full scope of the Life Patterns project, including a fuller understanding of relationships between cohorts and waves and the extent of outputs in the project. A data dictionary has been developed as an outcome of using the OHRM, and each Wave of the Life Patterns project has associated questionnaires, technical reports and associated pdf files available on the OHRM. A website is being developed by the Life Patterns Research Program to represent the whole of the Life Patterns project.

It is anticipated that nationally and internationally there will be researchers who will better access the Life Patterns program and contact the research program to work in collaboration with the Life Patterns team. It also means that the public face of the program can be maintained and updated to remain current and therefore relevant. It is also expected that as a result of this project, policy-makers, media and other institutions and social actors interested on youth research and data will have a better access to the Life Patterns program.


Initial: "The Youth Research Centre's Life Patterns Research Program maintains an extensive qualitative and quantitative data base on a cohort of 2000 young Australians who left secondary school in 1991 and of a second cohort of 3000 who left school in 2005. With ARC funding through to 2014 for annual quantitative and qualitative data capture for the second cohort (Gen Y) and biannual data capture for the first cohort (Gen X), this activity aims to enable wider access and use of the data by developing the infrastructure to:
- make sets of the existing data available for re-use,
- streamline capture of new data so that it is more readily available for re-use, and
- build the capacity to efficiently respond to future requests for derived data sets.

Appropriate structures for the capture of relevant metadata (compliant with DDI2, DDI3 and RIF-CS schemas) and tools to extract this metadata from workflows will be developed.
"

Data Type:

"Survey data (quantitative and qualitative data) Life patterns of Gen X (who left secondary school in 1991, 2000 samples) and Gen Y (who left secondary school in 2005, 3000 samples) Gen X - biannual, Gen Y - anually, till 2014 "

High Level Software Functionality:

Features: "PD: Deployed system that:
a. Automates the deriving and publishing of re-usable data sets
b. Automatically captures and extracts metadata in quantitative and qualitative data capture workflows
c. Allows extracted metadata to be enriched by human input.
d. Allows authorised external users to access datasets.
e. Automatically assigns persistent identifiers where required.
";

ANZSRC-FOR code:

16 STUDIES IN HUMAN SOCIETY