If you are interested to learn about good RDM practices based on the latest policies and guidelines, self-enroll in this course via NTULearn. Good RDM practices help to mitigate risks such as data loss, leakage, infringement of data reuse terms, or even research integrity-related risks such as data falsification and fabrication.
New to the NTU Data Management Plan template or would like a refresher training or have new team members? This workshop introduces you to the benefits of having a data management plan, best practices in research data management and ways to implement and update your DMP.
Find out more at https://libguides.ntu.edu.sg/rdm/dmpworkshop.
DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community in various disciplines. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.
What is research data?
Research data are data in whatever formats or form collected, observed, generated, created and obtained during the entire course of a research project. This would include numerical, descriptive, aural, visual or physical forms recorded by the researcher, generated by equipment and derived from models, simulations. NTU Research Data Policy (2016)
Why share research data?
Source: https://www.ukdataservice.ac.uk/manage-data/plan/why-share
For additional information on sharing research data, please refer to the Library's RDM LibGuide: https://libguides.ntu.edu.sg/rdm/whysharedata
You are expected to comply with University policies and guidelines namely, Appropriate Use of Information Resources Policy, IT Usage Policy and Social Media Policy. Users will be personally liable for any infringement of Copyright and Licensing laws. Unless otherwise stated, all guide content is licensed by CC BY-NC 4.0.