Research Data Management (RDM) refers to the activity of working with research data throughout the research process, from data collection, data storage and backup, to data sharing at the end of a research project. It is essential in responsible, high-quality and professional research. Good practice in data management will bring benefits to researchers, institutions and the wider public.
Good research data management can:
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Increase research impact Making your data available to other researchers can increase the discovery, citation and impact of your research. |
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Save time and effort Planning ahead for your data management needs will save you time, resource and duplication of effort. |
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Preserve data |
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Maintain data integrity Managing and documenting your data throughout its life cycle will allow you and others to understand, verify and reproduce your data in the future. |
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Meet grant requirements Many funding agencies now require that researchers deposit data collected as part of a research project. |
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Promote new discoveries Sharing your data with other researchers can lead to new and unanticipated discoveries and provide research material for those with little or no funding. |
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Support open access Be a catalyst for research and discovery. Show your support for open access by sharing your data. |
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Data Sharing and Management Snafu in 3 Short Acts A video created by NYU Health Sciences Library, which covers the following areas:
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Research in 3 Minutes: Research Data Management A video created by the Office of Scholarly Communication, University of Cambridge, which covers the following areas:
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Knowledge clip: What is Research Data Management (RDM)? A video created by Ghent University Data Stewards, which covers the following areas:
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For enquiries, please contact Library's Research Support and Scholarly Communication Section at: lbscholars@cityu.edu.hk
