This guide is a resource to help navigate common best practices and guidelines regarding data throughout your research project. Research data management is a concept used to describe the managing, sharing, and archiving of research data to make it more accessible to the broader research community (NNLM, 2021).
What is Research Data?
Data can be descriptive, numerical, raw, analyzed, visual, experimental, or observational. Some examples of data are:
Benefits to managing research data
Research Data Lifecycle
Based on the model created by the UK Data Service, the research data lifecycle can consist of: planning, collection, analyzing, publishing and sharing, preserving, and reusing data.
