Open Data is the process of making the data gathered and created during the course of research openly available. Grant funding bodies and publishers are increasingly requesting researchers make data associated with research outputs publicly available. Data Management Planning tools assist in describing the how you will handle your data while undertaking research and following the completion of your research projects.
eResearch @ Flinders can help make your research data openly available, assist with storage for Open Data and in addition provide Data Managment Planning tools.
- Data sets are the raw data files that are used for secondary analysis in research. They are often deposited in data archives for preservation and dissemination purposes. Although not all data files are available, data archives can be searched by a number of access points.
- Data sets are considered to be a primary research source. Data set files are usually downloadable and can be manipulated using statistical software such as SPSS. Some data archives also provide tools for online analysis.
- Your subject liaison librarian may also be able to provide advice on subject-specific data sets.
- Many governments, NGOs and research organisations now make many datasets available for reuse. Many are available free of charge, some are only available under certain conditions or may require payment (see below for information on restricted access datasets). Below are links and information on finding relevant datasets using FlindIt@Flinders, as well as some of the main sources of government, research, and restricted access datasets.
How to Cite
"Data citation refers to the practice of providing a reference to data in the same way as researchers routinely provide a bibliographic reference to outputs such as journal articles, reports and conference papers. Citing data is increasingly being recognised as one of the key practices leading to recognition of data as a primary research output" 
 Australian National Data Service (2011) Data Citation. Retrieved from http://www.ands.org.au/cite-data/
How to cite research data
Data citation standards are evolving and may vary across disciplines and publishers. However, DataCite has undertaken some work in this area and recommends using one of the following formats:
Creator (Publication Year): Title. Publisher. Identifier
Abraham, Gad. Kowalczyk, Adam. Loi, Sherene. Haviv, Izhak. Zobel, Justin. ( 2011 ) Five human breast cancer microarray gene expression datasets. Computer Science and Software Engineering, The University of Melbourne. doi:10.4225/02/4E9F695934393
Creator (PublicationYear): Title. Version. Publisher. ResourceType. Identifier
Colley, Sarah. ( 2010 ) Archaeological Fish Bone Images Archive Tables. 1st edition. Sydney. Sydney eScholarship. http://ses.library.usyd.edu.au/handle/2123/6253, Sydney eScholarship Repository
Abraham, G; Kowalczyk, A; Loi, S; Haviv, I; Zobel, J. (2011) Computational Model for Gene Set Analysis to predict breast cancer prognosis based on microarray gene expression data. Computer Science and Software Engineering, The University of Melbourne. Computational Model. doi:10.4225/02/4E9F69C011BC8 XXXXXXXXXX
The DataCite format is used to display citation Metadata in collection records in Research Data Australia.
To search for relevant datasets:
- Set your search to 'Articles'
- Enter your keyword/s and 'datacite'; for example lizards datacite - as per the search below.