Data Management can be generally considered as any activity involving data outside of actually using the data.
Data management is best defined as any and all of the following examples:
Data management involves organizing, protecting and distributing the data. Data management does not produce results but is an unavoidable consequence of working with data. The aim is therefore to spend as little time doing data management as possible so that more time is spent using the data productively. Typically, people only do data management when it is needed and therefore tend to use the most obvious methods. The obvious methods are often the most inefficient, i.e., they are time-consuming and error prone. Using more advanced and automated methods will reduce the amount of time spent managing data.
Managing your data allows you to work more efficiently, produce higher quality data, achieve greater exposure for your research, and protect your data from being lost or misused.