A.C 1.1 Identify criteria used in sourcing data.

Fig.1, Example of primary data sourced from; http://www.centraxgt.com/publications

Data is defined as useful raw material which is intended to be useful for both the originator and for the intended receiver. Data consists largely of facts and figures ideal for communicating the intended meaning. This data can be interpreted and can be categorised as follows; * Primary data. * Secondary data.

Primary data is intended for personal/company use and is compiled by the user for a specific requirement.

This data has been compiled by the sales department in order to attract future customers, therefore specific and primary data.
This data is readily available to the public and so does not breach any of the 8 considerations of the Data Protection Act. Data protection is covered in
A.C. 1.3.

Fig 2 Example of Primary data which becomes secondary data, sourced from http://www.midlandairmuseum.co.uk/jet.php

Secondary data is not originally compiled by the intended user, it is acquired, collected or bought and maybe adapted to suit the requirements.

The above image, fig.2, is an example of primary data. They show Sir Frank Whittle in his development of the . The intended use for the data shown was specific, however, the founder of my company will have used this original primary data as secondary data in the development of power generation company .

A.C 1.2 Identify quantitative and qualitative sources of data.

Fig 3. Example of Qualitative data, sourced from; http://en.wikipedia.org/wiki/Early_flying_machines

Qualitative data can be described as un measurable opinion related data which is compiled with individual feelings and perceptions and has little or no historic factual foundations on which to be based on.

Leonardo da Vinci vision of the above helecopter design in the 15th century