Are you planning to make your data known to others? Are you planning to share your data by making it Open Access?
You will need to describe your data to enable others to easily search for, access and cite your data.
The Australian National Data Service recommended metadata schema for data description and citation is RIF-CS. The Schema has guidelines and Elements and usage suggestions.
Dublin Core is another commonly used metadata schema.
Which ever Schema you use, remember that you need to include a number of elements of description to assist others with correctly citing and referencing your data.
Research Vocabularies Australia: Your data will need subject terms that describe the nature of your research and the data collected to help researchers and others to discover your data. Research Vocabularies are available to support this.
These descriptive metadata elements are essential to your shared data being identified, located, or cited by others in their research.
For support with metadata for your data contact researchsupport@csu.edu.au
Datasets as described in CRO:
Cahill, M. A. (Creator), & Thejer, B.(Creator) (2017). MIA Paca2 cell line with haemagglutinin tagged double mutant PGRMC1 insert - Forward sequence : Pancreatic Carcinoma Cells with TripleMutant PGRMC1 insert. Data set/Database, Retrieved from https://www.ncbi.nlm.nih.gov/Traces/study/?acc=SRP118430
Kennan, M. A. (Creator), Corrall, S. (Creator), Afzal, W. (Creator). (2012): Academic library survey responses data: Research support services, including bibliometrics and research data management, Charles Sturt University. 68708_ResearchSupportServicesSurvey2012(.xlsx).
The Australian National Data Service Metadata guide gives a detailed overview of Metadata used to describe data.
The dataset record below links to an example of metadata description:
Thapa, Roshan (2015): Botanal and Seedling Data: Rehabilitation of perennial pastures PhD Project. Charles Sturt University.
10.4225/43/54eab173bd39a (This record is from Research Data Australia.)