This chapter began with a discussion of the basic concepts of data, information, and knowledge. Then it introduced the various types of software used to store data. After that, we discussed various operations that should be performed on datasets. Then we saw the standard format of storing scientific data. We also discussed various predefined, already used, and standard datasets for a number of scientific applications in various subject domains. However, there are some domains in particular subjects for which datasets not be available.

After covering the basic concepts, various techniques of preparation of synthetic data for some specific experiments were presented. Various standard functions available for random number generation used in synthetic data generation were also presented. For synthetic data generation, one algorithm and a program for random number generation using the Poisson distribution were covered.

The next chapter will have a detailed discussion on, and show the functionality...