Research data policies and guidelines
All research undertaken at QUT must comply with the Australian Code for the Responsible Conduct of Research (the Code), which was developed by the National Health and Medical Research Council (NHMRC), the Australian Research Council (ARC) and Universities Australia. Compliance with the Code is already a requirement for ARC and NHMRC funding and is likely to be mandated by other government and research institutions, as well as funding bodies, in the near future.
The Code provides information on responsible research practice, covering a wide range of topics associated with research including the management of research data and associated materials, the publication and dissemination of research findings, peer review, conflict of interest, collaboration, research misconduct and breaches of the Code. The management of research data and primary materials is covered in Section 2 of the Code.
There are a number of QUT policies and guidelines that impact on research and research data at QUT, and you are advised to consult these prior to developing your research data management plan:
- MOPP D/2.6 QUT Code of Conduct for Research reflects and promotes the principles embodied in the Australian Code for the Responsible Conduct of Research. The QUT Code forms an integral part of the University's research governance framework. Individual researchers, heads of schools, institute directors and centre directors are required to manage their research data and primary materials throughout the research cycle by addressing issues of retention, storage and recordkeeping, ownership, security and confidentiality.
- MOPP D/2.8 Management of research data - addresses the management of research data created by all QUT researchers, including academic staff, professional staff and postgraduate students engaged in research activities associated or affiliated with QUT
- Guidelines for the Management of Research Data at QUT (PDF, 271KB) - provides details on ownership of research data, storage and backup, data formats, documentation and metadata, privacy and confidentiality, retention and disposal of research data, access and re-use.
- Guidelines on the use of the Data Management Planning Tool for Higher Degree Research Candidates (PDF, 35KB)
- MOPP D/3.1 Intellectual property policy
- MOPP F/1.2 Information security
- MOPP F/5.1 Copyright
- MOPP F/6.1 Records management policy - all research data, including primary materials, are considered University records and must be stored, disposed of or transferred in accordance with QUT policy.
- MOPP F/6.2 Information privacy
- Research data policy and the Australian Code for the Responsible Conduct of Research - provided by the Australian National Data Service (ANDS), this is a guide to those aspects of the Code related to the creation, sharing and management of data. These include the researcher's responsibility to retain research data and primary materials, manage storage of research data and primary materials, maintain confidentiality of research data and primary materials.
- Summary of UK research funders' expectations for the content of data management and sharing plans (PDF, 83KB) - a summary of requirements from the NSF, NIH and other key funders in the USA.
- How to develop a Data Management and Sharing Plan - a guide by the Digital Curation Centre that outlines typical funder requirements for DMPs and the types of considerations to make when responding.
- Managing and Sharing Data: best practice for researchers (PDF, 3.1MB) - a guide by the UK Data Service covering a range of topics including data formats, documentation, ethics, copyright and data sharing.
- How to Cite Datasets and Link to Publications - a guide by the Digital Curation Centre giving practical guidelines on how to cite data and the different tools and infrastructure that can be used to support data citation.
- How to License Research Data - a guide by the Digital Curation Centre that outlines different types of licenses, the pros and cons of each and how they can be applied.
- How to Appraise and Select Research Data for Curation - a guide by ANDS and the DCC on how to select which data to keep for long-term preservation, sharing and reuse. The guide puts forward several criteria to aid selection decisions.
- Research Data MANTRA - an online training course designed for researchers or others planning to manage digital data as part of the research process. The course includes a number of software practicals on using SPSS, R, ArcGIS and NVivo.
- QUT's document naming guidelines.