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The RDII (Research Data Information Integration) community facilitates sharing of information, approaches and practices between research institutions on possible system functionalities used to store information about research data, and integration needed to connect systems. Such functionality will enhance national research data management capability.

Benefit to institutions

By establishing these connections the institution will have a better view of their research data assets. They can use this information in keeping track of data assets, reporting to funders, profiling the university, attracting new collaborators (such as business, industry, government, as well as international research partners). Integrated research systems will save researchers time by only entering information once, rather than several times into disconnected systems.

Analysing the scope of work

The research data lifecycle provides a convenient model by which to analyse the systems and activities that support the research process. Through the research data lifecycle, information is collected about research data. Rather than having to re-enter this in multiple systems, this information can be passed between systems and to enhance its value, be connected to other information (author ID, grant ID, etc). The focus in this community is on business processes and information flows about research data between institutional systems.

CC-BY Research Data Lifecycle

Figure 1. Functionalities of systems in the Research Data Lifecycle (ANDS 2016).

The systems involved are systems that provide functionality for processes in the research data lifecycle. For instance, there are:

  • data management plans to support grant application processes
  • ethics approval processes involving the collection and processing of research data
  • storage allocation for research data to ensure secured and authorised access during research
  • publishing of research data as research outputs and as evidence to support research findings
  • making research data discoverable through Research Data Australia or disciplinary portals
  • reporting internally and externally to funders (international funders such as NIH, Wellcome trust, and EC Horizon 2020)
  • profiling of researchers and institutions
  • archiving, preserving and otherwise disposing of research data.

Activities to support the RDII community

ANDS is supporting the RDII community through the following activities:

  • information gathering and anonymised exchange on the systems in use (Data Management Planning tools, Metadata stores and Research Information Management Systems)
  • webinars in which institutions present on the systems they are using and the connections between these systems (commencing April 2016)
  • workshops sharing experiences and plans for connecting system, exchanging international developments in this field; such as from the Research Data Alliance
  • supporting the community to communicate requirements, including information about research data, to vendors
  • hosting a closed online community to share and compare RDII system requirements (and specification documents), on a Google Group and Google Site. For access, please contact richard.ferrers@ands.org.au.

Webinars

The following RDII webinars are planned or have already taken place:

Topic Date Institutions Link to resources
Data Management Planning Tools 21/04/16
  • Curtin University
  • University of Sydney
  • UNSW
Video (49 mins)
Presentation 1: Video
Presentation 2: Video
Presentation 3: Video
Systems supporting Ethical Management of Data 26/05/16
  • Griffith University
  • RMIT
  • UniSA
Video (45 mins)
Presentation 1: Video
Presentation 2: Video
Presentation 3: Video
Data Storage 21/07/16
  • Deakin University
  • University of Newcastle
  • James Cook University
Video (45mins) Presentation 1:
Slides | Video
Presentation 2:
Slides | Video
Presentation 3:
Slides | Video
Data Publication  16/8/16
  • CSIRO
  • University of Queensland
Video (51 mins)
Presentation 1:
Slides | Video
Presentation 2:
Slides : Video
Data Archiving 08/11/16
  • Jenny Mitcham,
    University of York, UK
Slides | Video (55 mins)
Implementing a Current Research Information System (Pure)03/05/17
  • University of Western Australia
Slides | Video (29 mins)

Related Projects

The Data LifeCycle Framework (DLCF) is a nationwide effort to connect existing services such that researchers can make use of existing national, state-based, local, and commercial eResearch tools.

​The DLCF aims to connect critical elements of the data journey from grant approval through to project finalisation, results publication and archiving while leveraging existing eResearch investment to provide a flexible and dynamic national DLC framework to support research.

A shared information model capturing information throughout the DLC will be an enabler for institutions to effectively locate, process and reuse data, thereby reducing the institutional risk associated with non-location of data sources.