Good research data management (RDM) practices ensure that researchers and institutions are able to meet their obligations to funders, improve the efficiency of research, and make data available for sharing, validation and re-use. To support these goals, it is imperative that research data management is done properly from the outset; through the stages of planning, collection, analysis, publication, archiving and later re-use. (Australian National Data Service)
The first five minutes of this short documentary on 'managing research data' produced by the Digital Curation Centre (DCC) highlights the importance of providing access to research data and the risks of not managing data effectively.
Data management relates to you as a CDU researcher. The 2007 Australian Code for the Responsible Conduct of Research (the Code) requires sound data management.
Internationally the requirement to lodge a research data management plan for Research Council grants is becoming increasingly common. Nationally, ARC and NHMRC grant recipients must now deposit their research publications in repositories in a timely manner. The ARC and NHMRC also recommend in the Code that research data and primary materials generated by publicly funded research should also be securely and safely stored, recorded and (within the constraints of legislation and ethical guidelines) made accessible to other researchers in order (1) to justify the outcomes of research and defend them and (2) to support the interests of future research.
It is worth highlighting that data isn't exclusively the domain of scientists. One of Jisc's Top 7 Predictions for the future of research (2012) noted data will drive research across many disciplines, e.g. social media provides a rich source of data for the humanities, and real-time analysis of social data will become more prominent. This will challenge the belief of some humanities/social sciences researchers that they don't deal in data, that they work with information or knowledge instead.
The deluge of complex data being produced by research is of a greater value if it is effectively managed and described. Managing metadata:
Making data more discoverable:
Creating connections between research data is a central mission of ANDS because it:
Reusing data allows: