2. Integrated infrastructure for UQ researchers
iDMP Pilot Projects
Integrated infrastructure for UQ researchers

3. The Australian Code for the Responsible Conduct of Research
(The Code) assigns researchers and their institutions a shared responsibility to manage Research Data and primary materials well, by addressing aspects of ownership, storage and retention, and accessibility
The University is required by The Code to provide facilities for the safe and secure storage of Research Data and for maintaining records of where Research Data are stored
Researchers are required by The Code to manage the Research Data they collect or create in line with best practice

4. UQ 4.20.06 Research Data Management Policy
Storage
6.1 Researchers must take reasonable steps to keep Primary Materials and Research Data secure.  Research Data must be held in appropriate facilities and adequately recorded in a register or index of research metadata to enable access to be managed as required
6.2 Research Data must be properly curated throughout its life-cycle and stored with the appropriate metadata
Retention
7.1 Researchers must retain Research Data in a durable, indexed and retrievable form, for at least as long as the relevant archives or records keeping acts, national codes or funding bodies require
More interesting, what others are doing in this space…
DMPs that auto-provision research data storage
Data portals to publish data

5. ESS Research Data Management Team Members
David Abramson, Professor and Director, Research Computing Centre
Annette Dobson, Professor and Deputy Head of School, Public Health
David Evans, Professor and Head of Genomics Program, Diamantina Institute
Kristen Gibbons, Associate Professor and Manager, Mater Research Office, Mater Research Institute
Nicholas Hawkins Professor, Innovative Technology in Medical Education, School of Medicine (Project Manager)
Eric Hornsby, Associate Director, Library Technology Service, UQ Library
Jane Hunter, Professor, Information Technology and Electrical Engineering
Andrew Janke, NCRIS Facility Fellow, Centre for Advanced Imaging
Helen Morgan, Manager, Research Outputs and Impact, UQ Library
Susan O'Brien, Research Integrity Manager, Office of the Pro-Vice-Chancellor (Research and International)
Elaine Pascoe, Head, Biostatistics and Data Management, Australasian Kidney Trials Network, School of Medicine
Jana Vukovic, Lecturer, Biomedical Sciences, Research Fellow, Queensland Brain Institute

6. Environmental scan Funder requirements Journal requirements
UQ researchers needs
National trends
International trends

7. Researchers require simple, easy-to-use infrastructure that is available to them at no cost, and that allows for best practice workflows with minimum administrative intervention
Integrated institutional data management tools would ideally appear to researchers as one system that ‘closes the loop’ and enables efficient management of data throughout the entire data lifecycle

8. This system will allow research project-level metadata, as captured in the iDMP, to cascade efficiently through the data lifecycle, while automatically provisioning research data storage
This ultimately leads to one or more published dataset metadata records linked to the data, either underpinning a particular publication, a set of publications or contributing to a project-level data collection
The cascading model provides clear benefits to the university community. Not only does this ease administrative burden on researchers, but it also creates an auditable trail of research data from raw to published
From a researcher’s perspective, it means they only ever have to type something in once, and they never have to type in information that is held in other university systems.
They have access to project-level dedicated data storage, which is shared by those collaborators identified in the iDMP
The incentive to update the iDMP is in-built, because the final iDMP metadata can be cloned to form the ‘published’ record of the data
From the university’s point of view, it means that data underlying research projects can be easily located, and access to that data appropriately controlled and managed
Best-practice management of research data inevitably results in greater data security as well as increased discoverability

9. What will actually change?
Researchers who use the system will complete a simple Data Management Plan for each project
They will identify as part of the plan who should have access to the data
Data storage for that project will be provisioned with access granted automatically to the correct researchers
The plan can be updated during the project
When a paper is published, the underlying dataset can be given a DOI, appropriate licencing, and linked to the publication

10. What are the benefits for researchers?
Know where and how your data is stored, and who can access it; protect you and your research participants from data misuse or breaches
Data Security and Confidentiality
Ensure your data is not lost; manage version control, filing and other protocols; enable you (and others) to easily locate and retrieve data when they need it
Data Safety and Preservation
Facilitate data sharing and review, and ensure you meet necessary standards when submitting research papers and data for publication
Collaboration and Publication
Support a durable registry of projects across the University of Queensland
Metadata Collection and Usage
For Researchers, revelation of possible workflows that enable compliance with the UQ Data Management Policy, support grant applications, encourage best-practice research data management and simplify storage provisioning
For Research Integrity purposes, demonstration that Research Data for any given project can potentially be located quickly at UQ via metadata captured in the iDMP,
For the ODVC(R), evidence of the ability to monitor compliance with the UQ Research Data Management policy, access an index of UQ projects and where the associated Research Data is located through the metadata registry or UQ Reportal, and gather information on research activity at UQ to inform strategic decision making
For the Library, demonstration of how to provide researchers with the best data management advice, procedures, planning, training, and links to storage options, in an integrated manner via the iDMP interface
To assess and capture information about the location and critical metadata about UQ Research Data, to potentially enable the ongoing preservation of the Research Data, thereby benefiting multiple parties in the long term through discovery and potential re-use
To investigate capture of this information in UQ eSpace, thereby creating the first step towards a fully auditable trail of ‘raw’ to ‘published’ Research Data

11. User-testing and refinement
Small cohorts from a range of disciplines are invited to participate in the pilot to:
have input into the design of the iDMP system
ensure it meets their needs
develop efficient workflows
learn about best-practice data management
Contact

12. Questions?