Guidance and support

Tools
Guideline
To offer help with managing digital and non-digital research data for all disciplines.
Guideline
To support researchers in writing their Data Management Plan (DPM).
Guideline
To boost innovation by ensuring the generation of robust and reliable preclinical data, while being lean and effective, and not becoming a bureaucratic burden that could negatively impact the freedom to explore scientific questions.
Guideline
To provide guidance and questions to consider when making a data management plan.
Guideline
To lay down the conditions within the Faculty of Social and Behavioural Sciences for storing (archiving) research data.
Guideline
To ensure that research data generated in the conduct of research projects at Nanyang Technological University (NTU) are managed in a systematic and comprehensive manner to ensure integrity, accountability, long term availability, appropriate sharing and compliance with requirements of funding agencies.
Guideline
To provide guidance on how researchers should act when dealing with data management.