Research Data Management (RDM) refers to all aspects of data management throughout the research data lifecycle, from planning through collection, processing & analysis, storage & preserve, sharing and reuse. RDM aims to ensure that research data is findable, accessible, understandable and reusable over time. It is an essential component of responsible research, and researchers have the responsibility to follow good RDM practices to ensure the sustainability of their research data.
Get Started with RDM:
Understanding RDM
Get to know RDM and explore best practices for RDM across the Research Data Lifecycle!
Get to know RDM and explore best practices for RDM across the Research Data Lifecycle!
Planning for RDM
Learn how to create a Data Management Plan (DMP) to ensure proper data management during and after your research project.
Learn how to create a Data Management Plan (DMP) to ensure proper data management during and after your research project.
Data Sharing@Lingnan
Share your research data at Lingnan Data Repository to meet the growing trend of data sharing!
Share your research data at Lingnan Data Repository to meet the growing trend of data sharing!
Reusing Data
Search for and reuse datasets from Lingnan and around the world to support your research!
Search for and reuse datasets from Lingnan and around the world to support your research!
Have Question?
For enquiry, please contact the Library - Research Support Team:
Tel: 2616-8553 Email: scholars@LN.edu.hk