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Research Data Management

Introduction

Research data is a valuable resource that needs to be properly preserved if the maximum return on research investment is to be considered. 

Research Data Planning is also important because funders, both local and international, now increasingly require Data Management Plans (DMPs) to be submitted as part of grant applications. 

Digital Technology is making it feasible to provide a more transparent research dataset, meeting public or academic requests on reproducibility and openness. Research data curation mechanisms should be in place, as a means to assure research integrity and to provide improvements in research efficiency and the effectiveness of institutional support.

Strategic actions should be considered to support researchers’ data management needs and promote long-term preservation and dissemination of the data they produce. 

What is a Dataset?

Research data is the documents, information, records, files or even computer codes that are used or collected during the research process. Common examples of research data include questionnaires, laboratory notebooks, recordings, specimens, images or photographs that are required to reproduce the original research results.

According to Engineering and Physical Sciences Research Council (EPSRC), "Research data is defined as recorded factual material commonly retained by and accepted in the scientific community as necessary to validate research findings; although the majority of such data is created in digital format, all research data is included irrespective of the format in which it is created."

Research Data Management Lifecycle

 

Adapted from: The University of California, Santa Cruz, Data Management LibGuide, Research Data Management Lifecycle, viewed 12th November 2018.

 

Explanation of the RDM Lifecycle:

Key Benefits of the RDM

Some benefits of the RDM can be listed as follows:

  1. Increase data citation with DOI and this can enable new research opportunities and stimulate new collaborations. 
  2. Increase research efficiency with organized research datasets in the whole research lifecycle. The RDM service can be centralized at the institutional level to ease the manipulation of datasets by departments. 
  3. Improve scholarly communication and visibility of data.
  4. Enable verification, re-purposing and reuse of data and methodologies.
  5. Improve research integrity by accurate, complete, and reliable data to reproduce your research findings.

Digital Technologies Librarian

Vincent Lum's picture
Vincent Lum
Contact:
Research Support and Digital Initiatives, University Library, The Chinese University of Hong Kong, Shatin, N.T.
39439291

Need Help?

Make an appointment for the Research Consultation Service (for postgraduate students and CUHK faculty members)
WhatsApp us at 5578 8898; 9am - 5pm (Mon-Fri)
Send an email to research@lib.cuhk.edu.hk
Phone us at 3943 7305