Part of good data management practice is the use of consistent, logical and documented descriptions of the data. This enables easier analysis and re-use.
Documenting these features will make things easier whether the research is being done solo or, especially, in a team:
Metadata (data about data) is important to your project during the research and afterwards. The metadata you record about your data should include details like dates, creation methods, any processing that has been applied to the data, source details, descriptions of the content, technical aspects like file formats, and access considerations (i.e.: restrictions on access).
The DataONE collaboration has a succinct information sheet about metadata for research data.
They also offer suggestions for best practice in these areas:
Well-described data is one thing, but without the data that description is not very useful. During the research project the data must be stored somewhere, and some methods of data storage are safer and more effective than others.
This guide's Store Research Data section outlines what to take into account with data storage decisions and practices.