Research data is any form of material that has been recorded for the purpose of validating research findings. Generally, researchers obtain their research data by collecting, observing, generating, or creating it.
Source: University of Leeds - RDM
Research data can be digital or non-digital, and is collected by employing methods specifically chosen to gather the required data. Research methods may take the form of experiments, observations, opinion surveys, laboratory tests (and a large array of other types of research method).
Research data can also be presented and communicated in various formats: charts, graphs, video & audio files, print, statistics, cartographic, pictorial, and numerous other types.
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Research Data Management (or RDM) is a set of processes, put into place at the beginning of a research project, and implemented throughout the various stages of the project.
Its purpose is to ensure that the data derived from the research is properly organised, safeguarded, documented, and retrievable throughout the lifecycle of the project, and beyond.
From the start, it's essential to consider how research data will be managed throughout your project.
Broad considerations include:
* The research funder's requirements
* How you plan to describe the data
* The file formats that you intend to use
* Where and how you will store the data
* Methods for securing the data
* Preservation strategies for your data
* Methods for sharing your data
* Identifying ethical and legal concerns
Source: Simmons University Library 2021
Jointly developed by
the NHMRC, ARC, and Universities Australia
An important publication, outlining the principles of research, and the responsibilities of researchers, within the Australian context
Jointly developed by the NHMRC, ARC, and Universities Australia
This guide supports the Australian Code for the Responsible Conduct of Research, and includes a section specifically on researcher responsibilities.