ANDS Logo

Data collections can be seen on:

http://researchdata.ands.org.au/search#!/group=University%20of%20Ballarat/tab=collection

Project Members:

Dr Helen Thompson (h.thompson@federation.edu.au)

Carmel Grant (c.grant@federation.edu.au)

Carolyn Bray (c.bray@federation.edu.au)

Donna Byrne (d.byrne@federation.edu.au)

Roger Clark ( )

Dr Janette Corcoran (j.corcoran@federation.edu.au)

ANDS Contact:

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

Project Status:

Completed

Seeding the Commons

Federation University Australia

Project Description

Final:
The FedUni Library worked with the Centre for eCommerce & Communications (CeCC) (within the Office of the Deputy Vice-Chancellor (Research) Portfolio) in completing the project. The project management was centred from within CeCC, including facilitating initial meetings to set up the project and also setting up an ANDS/VERSI stand at the FedUni Research Conference, held in late 2012.

Operational activities related to the project were carried out by Library staff as follows:
* Researching RDM policies from other institutions who had undertaken ANDS Seeding the Commons projects and providing documentation and advice to a staff member from Research Services who undertook to draft the RDM Policy for FedUni.
* Researching other RDM documentation as a basis for FedUni RDM information resources, including RDM guidelines and template, research interview templates, training packages, information on creating a data plan, describing and storing data, sharing, finding and citing data, as well as showcasing data.
* Contacting and interviewing FedUni researchers with a view to discovering what data sets might exist and how researchers care for and administer their data.
* Sourcing information on and creating RIF-CS records for the Research Data Australia database.
* Providing information to FedUni community regarding the ANDS project, e.g. items on the agenda for Research Committee, Policy Committee and information sessions for Library staff and interested parties.

Project need:
At FedUni, there was no evidence relating to systematic management of research data. Undertaking the Seeding the Commons (StC) project enabled FedUni to understand the research data management activities of its researchers including the following:
* ascertaining the state of play at FedUni in terms of what researchers know about research data management practices;
* identifying issues and problems researchers encountered with RDM; and
* gathering data on current RDM practices and using this information as a basis for developing information resources and systems to support them in future practice.

Data Management Issues:
The StC projects enabled FedUni to identify research data management issues relating to ongoing storage of, backup and maintenance of data, as well as a lack of descriptive metadata relating to data and/or collections. Other issues related generally to recognising the value of research data to other researchers, recognition of sharing options and general organisation of research data to enable data sharing.

Data Management Outcome:
An outcome of the StC project has been an increase in awareness across FedUni of the value of research data management, for example through formalising a Research Data Management Policy document that is in the process of being accepted by FedUni.

Information resources have been developed to support researchers in understanding the need for and processes relating to research data management and sharing. This is in the form of information resources that will shortly be available online, information sessions to researchers including those arranged during postgraduate induction sessions and through face to face discussion with researchers during interviews.


Proposed: The project will improve institutional data capture. It will build processes, policies and plans within the Institution to support better management of research data. Current and future requirements of funders will be met through a more consistent and robust records management system. The project will promote internal and external data discovery and reuse through high quality collections descriptions, made visible through the ARDC.

ANZSRC-FOR code:

0101 PURE MATHEMATICS
0102 APPLIED MATHEMATICS
0801 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
0803 COMPUTER SOFTWARE
0806 INFORMATION SYSTEMS
1302 CURRICULUM AND PEDAGOGY
1303 SPECIALIST STUDIES IN EDUCATION
0502 ENVIRONMENTAL SCIENCE AND MANAGEMENT