Research digital skills training 2021
Research data management (RDM) infrastructure is seen as an essential part of research support within the University. RDM infrastructure will assist researchers to store, manage, disseminate, curate, publish, catalogue, and archive data generated by research.
Research Data Management/Storage
The term research data encompasses the entire gamut of output generated by research at the University of Auckland. It may include anything created, collected, and/or generated in the course of research. RDM services facilitate the discovery, access, and reuse of research data. Proper leverage of RDM supports collaboration and enhances research impact. Additionally, funding bodies are increasingly requiring researchers to explicitly state their RDM approach in the form of data management plans (DMPs). The Centre for eResearch is working with both the Libraries and Learning Services, and IT Services to develop and promote the RDM knowledge and tools necessary to produce rigorous, high-impact research.
The Centre for eResearch offers consultations to researchers who need assistance with transferring big data (~TBs) to and from the University to external sites or repositories. Experts are available to meet with you and discuss your specific use case, and provide a solutions that cater to your needs and requirements. The Centre for eResearch can also help with general network solutions needed to progress your research.
The Data Publishing and Discovery Service (figshare for institutions) was officially launched in 2017, primarily to support data publishing. Research data descriptions and documentation (or metadata) supports discovery and reuse. All published items are assigned a persistent digital identifier (DOI) through DataCite and indexed by Google. For data that is sensitive, embargoed or otherwise restricted in access (e.g. copyright) one can make use of metadata only records, private links and/or reserve DOI features. Published items can be embedded in other web pages e.g. CANVAS.
- Data hosting: All data published to our institutional figshare are stored locally on the University of Auckland storage systems.
- Eligibility: Doctoral candidates, staff, and external collaborators.
- Requirements: An “auckland.ac.nz” email address and a University of Auckland username and login.
- Cost: There is no direct cost to researchers, research groups or faculties.
- Support: General support is provided through the staff at the Centre for eResearch and the Libraries and Learning Services.
In partnership with Libraries and Learning Services, the Centre for eResearch offers regular workshops aimed at PhD candidates, supervisors, principal investigators, and research staff to support research data management, data management planning and data publishing. For a training programme schedule, search Library workshops for ‘rdm’
For more information, including requests for workshops or presentations for research groups/departments, or technical support for uploading datasets larger than 100GB, please contact email@example.com.
The Centre for eResearch in partnership with faculty IS and central ITS offers support to researchers who seek effective data management solutions for their instrument data. We offer face-to-face consultations to understand the specific needs regarding your instrument data, and design solutions for storing, sharing, and transferring data. Where appropriate, we can also point to appropriate avenues for publishing and archiving instrument data.