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Research Data Management: Home

For detailed guidance on fulfilling the RDM Candidacy and Graduation Requirements for research postgraduate and taught doctoral students admitted in 2025/26 or thereafter, please refer to the 'RDM Candidacy and Graduation Requirements' tab on this page.

Introduction

Research Data Management (RDM) is about creating, finding, organising, storing, and preserving data within any research process. It covers the whole research life cycle and the process also creates a data life cycle. This Library Guide gives an overview on RDM.

CUHK Guidelines on Research Data Management

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."

Understanding Data Life Cycle

 

Data life cycle

Research Data Librarian

Qinqin Zhang
Contact:
3943 3162

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