Research Data Management (RDM) is the practice of managing, organising and preserving all of the information used to produce research, from the initial planning and searching through to post-publication. Navigate through the blue tabs above to learn more. This data comprises of a range of records such as notes, spreadsheets, surveys, emails, published material and grey literature.
Data collection is the systematic process of gathering, analysing and interpreting of various types of information from various sources. It is important to conduct a review of existing data before commencing your research. If you are a Monash Health employee, you should first check Monash Health's Prompt, Data Collections & Submissions. Monash Health Library offers training to enhance your knowledge and skills in Research Management as well as developing other vital research skills.
Step 1 - Locate appropriate resources and data repositories and other open data sources that include relevant data sets that could be used as part of new research. Some possible sources for locating relevant data are listed below. Further information can be found in the Preservation section of this guide.
Step 2 - Systematic Searching - perform systematic literature searching to identify any previous studies that cover topics similar to the area you are about to research. The following link provides access to Monash Health Library's guide to Literature Searching Essentials that provides clear steps to systematic literature searching.
Step 3 - Citation and Attribution - details on how to cite documents and also manage collected research articles located during systematic literature searches can be found in the link to Monash Health Library's Referencing guide.
Step 4 - Research Data Collection - There is no formal definition of what research data is but it can be in many formats including numerical, textual, digital or physical. Research may include one or more forms of data which may or may not include those listed below. The raw data is any form of data collected in the process of conducting research.
The importance of Research Data Management is how that data is organised and maintained during the research process and once the research is completed.
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