"Research data relates to data collected, generated or used in research. This includes (but is not limited to) data in the form of facts, observations, images, computer program code and results, surveys, recordings, measurements or experiences on which an argument, theory, test or hypothesis, or another research output is based.
Data may be numerical, textual, descriptive, visual, aural or tactile and includes artefacts. It may be raw, learned or processed, and may be held in any format or media. Research data is collected or created, not authored"
Benefits can include:
Charles Sturt University Research Data Management Policy: This Policy forms part of the Charles Sturt University (the University) governance framework for research data management by recognising research data as a valuable product of research activity that can assist in promoting open enquiry and debate, complementing research outputs and publications, providing research transparency, and justifying research outcomes.
Charles Sturt University Research Data Management Guidelines: Good practice in Research Data Management (RDM) is a crucial part of maximising research investment and leveraging your research efforts. RDM includes but is not limited to data retention, accessibility, storage, and security.
Australian Code for Responsible Conduct of Research recommends Research data management, as required by many funding bodies.
Management of Data and Information in Research: A guide supporting the Australian Code for the Responsible Conduct of Research, is a detailed guide for research data management:
Australian funding bodies' data sharing requirements :
The Office of Research Services and Graduate Studies is the central point of contact for researchers, research students, supervisors, managers and research agencies and will provide information and support for the administration and management of research and higher degrees by research (HDR) at Charles Sturt.