At the broadest level, Data Management is a serious of decisions about how you will create, store, publish and preserve the material created during a research project. In a practical sense Data Management can mean very different things depending on your subject area, the kinds of material and software you work with and the stage your project is at. This guide is designed to help you get the most out of your research by keeping your data safe and well-organised and improve the quality of your publications.
There are many reasons to take data management seriously, and many benefits for doing so.
Data can be defined in a variety of ways, depending on the discipline and the context. Here, we consider a wide definition which covers (but is not limited to!):