Research Data Management

Data Management for researchers at CQUniversity.

Why share data?

By sharing/publishing datasets or descriptions of datasets, many benefits may be afforded to researchers:

  • Research data cited by other researchers may amplify the research impact
  • Making datasets more discoverable increases the potential for other researchers to become aware
  • Future collaboration with new colleagues is achievable
  • Research results may be substantiated and internal validity verified
  • Datasets will live past the project completion, allowing the data to take advantage of new technologies
  • Individual standing within your discipline may be improved, as sharing contributes to the community of knowledge.

The FAIR Data Principles seek to "achieve 'symmetry' between the data and the metadata".

Findability;
Accessibility;
Interoperability and
Reusability of data.

The ANDS FAIR data self-assessment tool will give you an indication of how well your work meets the FAIR principles.

ANDS has a series of webinars (2018) explaining the details of these principles.

Reuse, and access considerations

Who will have access to the data and what level of access they are entitled to is an important consideration. Providing open access to confidential data and providing access to unauthorised people may be unlawful. Access regulations may also have implications on determining an appropriate storage option.

Data may be classified into open; shared; sensitive and closed. Access depends on the classification of the data.

  • Open data must be acknowledged by citing the data set. Permission from the researcher is not required.
  • Shared or mediated data may be used and cited. Permission from the researcher must be sought.
  • Closed data is not available for sharing.

This short video from the Open Data Institute will give a quick demonstration of the differences:

More information on open data is available from ANDS open data and Research Data Australia open access subject guides.

Before allowing access determine:

  • Who has ownership of the data?
  • Are there ethical considerations?
  • What level of sensitivity or confidentiality is required for the data?
  • Are the data regulated under export control laws?

 

De-identification of sensitive data

The ANDS Sensitive data: publishing and sharing guide and the ANDS Publishing and sharing sensitive data both help you to consider all aspect of publishing and sharing sensitive data.

Get a DOI to make your data easier to find and cite

The Digital Object Identifier system (DOIs) is used for identifying intellectual property in the digital environment.

ANDS is a member of the DataCite consortium, a group of leading research libraries and technical information providers that aims to make it easier for research datasets to be handled as independent, citable, unique scientific objects. ANDS Digital Object Identifier System and DOI Names (DOIs) Guide.

CQUniversity has signed the ANDS DOI Service Policy Statement which allows CQUniversity to mint DOIs for scholarly outputs such as:

  • datasets and collections
  • associated workflows
  • software
  • models
  • grey literature

Building a Culture of Data Citation (PDF)

Copyright and licensing

Creative Commons Australia provides information about the appropriate licence from the six used for open access to publicly funded information. Among those, the Creative Commons Attribution Licence (CC BY) is the most popular and provides the greatest opportunities for re-use of information. Use of the Creative Commons licences promotes a common standard of licencing. If you haven't heard of Creative Commons before, here is a brief video explaining what its all about:

 

 

Creative Commons Australia - About the licences

Creative Commons Australia - Using a CC licence or licenced material

Creative Commons FAQs

ANDS Copyright, data and licensing "provides an exclusive right to the copyright holder to reproduce, publish, adapt, communicate or perform a work." If the copyright owner does not license their research outputs (e.g. your data), no-one else can use it. In Australia, no license is regarded as the same as 'all rights reserved', confining any reuse to very limited circumstances.

Data sharing in context

A data management horror story by Karen Hanson, Alisa Surkis and Karen Yacobucci. Topics include storage, documentation, and file formats.

Community Owned digital Preservation Tool Registry (COPTR) describes tools useful for long term digital preservation and acts primarily as a finding and evaluation tool to help practitioners find the tools they need to preserve digital data.  Their are 415 different tools descrived in COPTR, to find the tool you need browse the COPTR registry.

Open Data Stories

Open access: Open science: Talk data to me (ANU Library)

Clear, succinct video created by the Australian National University Library promoting the importance of making data sets openly available to be shared so that it may be replicated and built upon.