A systematically organized data is very important for future analysis. When you work with data every day, its organization is obvious to you, but it may be hard to understand to others who know...

A systematically organized data is very important for future analysis. When you work with data every day, its organization is obvious to you, but it may be hard to understand to others who know nothing about the project. A good logical system of data organization helps to share and exchange data. When deciding how to organize your data, think about the nature of data. In ITS-related projects, data maybe organized by instrument or location of where data is coming from. It is also possible to organize chronologically, especially when you work with both real-time and historical data. Select a type of data you are most familiar with or would like to work with in the future (see examples of ITS data provided in this chapter). Think about how you would organize your project if this type of data was your primary data. Consider the following:

• What is the most appropriate logic for this type of data, for example, instrument, location, time, or something else?

• How would you organize and store data documentation and software needed to process the data?

• What other materials might be important to organize and store along with your data?