Research data management

Research data management (RDM) is the process of systematically planning, organising, storing, sharing and preserving the information or data generated by research. The aim of PDP is to ensure that data is secure, reusable, transparent and meets both ethical and legal requirements.

PDPs cover activities related to research data throughout the research lifecycle – from study design, data collection, secure storage, processing and analysis to data sharing at the end of the study.

Benefits of good research data management

Good and clear research data management is essential for responsible, high-quality research. Good data management practices benefit researchers, institutions and the wider public.

• Improved data security and reduced risk of data loss

• Improved quality and reproducibility of research

• Ensuring compliance with funders' requirements

• Promoting data sharing and collaboration with other researchers

• Data re-use

• Efficient use of time and resources