What is research data?
Research data is any physical and/or digital materials that are used in research activity to sustain scholarly conclusions or the production of creative works.
What form may data take?
Data may be numerical, descriptive or visual. Data may be raw or analysed, experiemental or observational, confidential or publicly accessible.
What could be considered research data?
Research data can include laboratory notebooks, field notebooks, primary research data (including research data in hard copy or computer readable form), questionnaires, audiotapes, videotapes, models, photographs, films and test responses.
Good practice for data management begins with planning at the design phase of a research project. CDU research data management policy is supported by CDU procedures that require the development of an RDM plan. A planning template is available on this page to assist researchers. From CDU Research Data Management Procedures:
All researchers and research administrators are required to develop a Research Data Management Plan at the commencement of each research project to formalise decisions relating to ownership, retention, storage and disposal of research data.
Research Data Management Plans must be kept with other research project documentation or with the primary materials and research data for the purpose of the future management of the research data. This will ensure that data can be understood during research projects, that researchers continue to understand data in the longer term and that re-users of data are able to interpret the data.
The Office of Library Services provides a Library Guide on Research Data Management to assist in planning and implementing good research data management practice throughout the research lifecycle.
As the project progresses, it is recommended that you revisit the content of the plan and update it as necessary to reflect any changes in decisions and processes.
A data management plan is a document which describes your strategy for managing research data. It reflects your data management needs, the decisions you’ve made around data management and outlines the activities that will be associated with the data, other than the direct use of the data. It describes:
When should you create a data management plan?
Good practice for data management begins with planning at the design phase of a research project. As the project progresses, it is recommended that you revisit the content of the plan and update it as necessary to reflect any changes in decisions and processes.
What should a data management plan cover?
The Australian National Data Service (ANDS) has created an introductory guide to data management planning, the main points it recommends covering in your plan are:
The template is designed to assist researchers meet best practice research data management. The template is closely tied to the policies and requirements of the following:
Checklists and templates that other Australian universities have created about how to develop and create a data plan: