Basic research data management is required by the Australian Code for the Responsible Conduct of Research. Compliance with the Code is already a requirement for ARC and NHMRC funding and is likely to be mandated by other funding bodies, government and research institutions in the near future.
On the practical side, a data management plan assists in maintaining the longevity and accessibility of your research outputs.
|The Research Data Itself:
- what sort of data do you intend to collect and generate?
- how will you collect & generate this data?
- volume of data?
- any software required?
- confidentiality and privacy requirements (need to de-identify participants?)
- quality control considerations?
The research data management plan
- both a plan and a record
|The ownership, copyright, licensing & intellectual property, sharing of data:
- who does the data belong to (especially in collaborative projects)?
- who will have access to the data?
- intended use of data collected
- personal use only
- can the data be sold?
- intend to share data with other researches through an Open Access Data Repository?
- apply a Creative Commons license?
- available after an embargo period
- available by application (mediation)
- data completely/partially available
- institutional policies and legislation requirements
- funder's policies and legislation requirements
- standard industrial practices
|Organising and documenting the data:
- file formats and version control
- naming protocols for file names
- describing data collected (metadata) so it makes sense later on
- what, where, why,who, how, etc.
- FAIR concept
- who is responsible for collecting what data
- quality control
- Storage of data and administrative paperwork (preservation):
- during collection - where will you store the data & the backup copies?
- post-project storage of data - long term copy, for how long?
- long term access to data and software to view data
- ECU Records and Archives Management Services