Research Data Management

Research Data Management (RDM) covers the decisions made and actions taken across the research data lifecycle to handle the outputs of research projects. For example, you may want to write a data management plan the beginning of your project and you may want to share your data at the end of the project. This guide will help in these decisions.

There are plenty of benefits to following best practices in data management here are a few:

• Data produced from academic research is a valuable output, just like journal articles and books
• Data that is not managed appropriately may be lost or lose quality over time
• UCL and funding agencies can specify data management requirements that researchers are expected to comply with
• Good research data management improves reproducibility, validation and integrity of research
• Sharing of research data enables re-use by other research groups and increases the value of the time and effort invested in generating the data in the first place

Here are some examples of research data – if you have examples that you would like to see included here please get in touch with us via the RDM email

We are always here to help. Need anything else from us just send us an email lib-researchsupport@ucl.ac.uk