A Framework for University Research Data Management
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There is a pressing need for universities to improve substantially their management of research data. Good research requires good management. In recognition of this principle, many major research funders worldwide either have currently or are implementing policies that require grant holders to submit data management plans for formal approval and to manage their data in accordance with those plans. At a national level government funding and policy guidelines are placing pressure on universities to increase the accessibility of their research output. Research is a competitive field in which one of the keys to success is collaboration based on the ability to efficiently find and use quality data which is ready to be assimilated into a project-be it local, national or international-both in the immediate and in the long-term future. In this paper the authors present a research data planning framework which conceptually follows the research lifecycle as research data moves through four main phases: data discovery and collection, cleansing and processing, analysis and computation, and finally publishing and preservation for re-use. The framework examines the cycle in terms of several key layers: governance, applications, content management, delivery services, and storage and network. This approach has been designed to develop the necessary components to have an effective and sustainable data management service for research and to ensure that it works seamlessly with current Australian national approaches.
CCA-EDUCAUSE Australasia 2011: The Game Has Changed
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Information Systems Management