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Software categories:

Integration metadata from various systems which are internal to an institution

Project Members:

Florian Goessmann (Primary Contact, Florian.Goesmann@curtin.edu.au)

Salim Taleb (Data Source Administrator, S.Taleb@curtin.edu.au)

ANDS Contact:

Mathew Wyatt (Mathew.Wyatt@ands.org.au)

Project Status:

Completed

Integrated Model for the Management of Research Data

Curtin University

Project Description:

The Seeding the Commons project was a collaborative exercise between Curtin IT Services (CITS),
The Library and the Office of Research and Development (ORD).

ORD managed the development of the data management guidelines .The Library were the driving force in the development of the training material. CITS focused on providing and developing adequate IT solutions. Engagement with researchers was a shared effort between CITS and The Library.

For the institution, research data is recognized as an asset that requires adequate management. However, the challenges surrounding research data can be different to other assets and therefore should be explored in greater detail. Additionally, the institution has to comply with the Australian Code for the Responsible Conduct of Research and funder requirements which are starting to recognize data as an output of the research project on par with publications.
For researchers data storage and management has always been one of the great challenges of conducting research. Many researchers are aware of the importance of proper data management for the purposes of effective research management and compliance with policies, procedures and funding requirements. Some researchers also recognize that effective research data management during the lifetime of research projects can assist in data dissemination which can subsequently enhance collaboration and research impact.

The major issues these project attempts to address are:
1. Incoherent policies and guidelines on research data management.
2. Inadequate data management training for researchers.
3. Inconsistent awareness among researchers on research data management best practices.
4. Inadequate guidance to assist researchers in proper data management planning.

The following were undertaken to address the major issues above:
1. Development of an institutional procedure on research data management.
2. Development of training material on research data management.
3. Engagement with researchers to highlight the importance of proper data management.
This included gathering sample collections metadata to provide a real example of the
specific metadata elements that might need consideration.
4. Development of an online data management planning tool with accompanying training
material.

Our approach was grounded on the following principles:
- Provide a holistic solution that can meet needs of most researchers at Curtin University.
- Integrate the components of this holistic solution so that relevant research data
information is captured appropriately during the lifetime of a research project.
- Leverage existing expertise in policies and procedures (ORD), data management (The
Library and Records Management) and IT solutions (CITS) to provide the required solution and accompanying policies, training and support.

The University has gained:
- General awareness of the importance of research data management at institutional, faculty and researcher levels.
- Availability of appropriate training material on research data management.
- Adoption and deployment of an institutional metadata hub can increase the profile of
research output, especially research data.

All the data is available for sharing. For most of them dataset manager needs to be contacted to gain access to the data.

No access restrictions (embargo periods) on the collections published for Seeding the Commons.