Implementing a Model for Integrated Research Data Services Management

Gavin Kennedy1, Andrew Brazzatti1, Shilo Banihit1, Matthew Mullholland1, Andrew White1, Peter Sefton2

1Data Innovation Services, Queensland Cyber Infrastructure Foundation, Brisbane, Australia, gavin.kennedy@qcif.edu.au , andrew@redboxresearchdata.com.au , andrew.white@qcif.edu.au , shilo@redboxresearchdata.com.au , matt@redboxresearchdata.com.au .

2eResearch Services, University of Technology Sydney, Sydney, Australia, Peter.Sefton@uts.edu.au

 

Summary

In this presentation we will demonstrate how the integration capabilities of ReDBox 2.0[2] supports the whole of the data life cycle taking a research and  researcher centric focus, from research activity initiation and planning, to infrastructure resourcing, to publication/discovery and finally to the archival of research outputs.

ABSTRACT

Research data and other non-traditional research outputs are rapidly increasing in ascendancy to be treated as equally valuable assets as publications. Recognising this, in combination with the overwhelming shift to born-digital research data, has helped drive development and maturity within the eResearch industry. In particular the research data repository has moved from being developed as an eResearch cottage industry to a significant commercial activity that could rival the $USD25 billion[1] academic publishing market. However, while research data managers are spoilt for choice for platforms to manage activities, resources and assets at various stages of the research data life cycle, few options have emerged for integrating these multiple platforms to provide true end-to-end research data management capability. Using the established Open Source ReDBox and Mint platforms, QCIF’s Data Innovation Services collaborated with the University of Technology Sydney’s eResearch Group and the ARDC Data Life Cycle Framework project to transform core ReDBox functionality from metadata store to service integrator. In this new model, ReDBox 2.0 can integrate and interoperate with existing institutional systems including research management systems, academic repositories and with shared service platforms such as national storage providers, to create an integrated research data services management platform. Taking advantage of the new ReDBox architecture, this platform utilises a schema free linked-data design that facilitates transformation of metadata across standards and creates machine readable and actionable microservices.

This presentation will be of interest to repository managers, data librarians and technical staff, as it will describe how the architecture of the platform supports research integrity through the research data lifecycle, highlighting innovative features including the mint namespace authority tool, integrated research data management planning and an actionable service catalogue in which services are accessed through the workspace concept.

REFERENCES

  • Ware, M. and Mabe, M., 2015. The STM report: An overview of scientific and scholarly journal publishing. https://www.stm-assoc.org/2015_02_20_STM_Report_2015.pdf. Accessed 22 June, 2018.
  1. ReDBox Data Life Cycle, https://www.redboxresearchdata.com.au/rbdlc/. Accessed 22 June 2018

Biographies:

Gavin Kennedy (https://orcid.org/0000-0003-3910-0474) is an IT research and solutions expert with over 30 years experience in ICT with the past 18 years in eResearch and ICT research. Gavin is the head of Data Innovation Services at the Queensland Cyber Infrastructure Foundation (QCIF), where he is responsible for business development as well as leading QCIF’s Software Engineering team, who are the key developers of ReDBox, the popular research data management and publishing platform.

Andrew Brazzatti is the Technical Lead and Solutions Architect with QCIF’s Data Innovation Services.

About the conference

eResearch Australasia provides opportunities for delegates to engage, connect, and share their ideas and exemplars concerning new information centric research capabilities, and how information and communication technologies help researchers to collaborate, collect, manage, share, process, analyse, store, find, understand and re-use information.

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