Dissertation writing: The data processing and interpretation

Any research through data collection. Must be able to present and explain the origin of the data, their quantity and quality.

A. Data

Presentation, a brief description. As part of some work it is possible that you are yourself the data producer (technical testing of software, models, etc.).

B. The criteria governing the eligibility data

This topic very important, explains how the data collected or produced (both relate to memory ) were selected, what criteria. This allows readers or researchers operator to reuse your work in confidence the information you produce. If this validation work is not exposed and made ​​the whole research lend open to suspicion.

The research methodology shows how the work will be done. Eg bibliographic work, meeting with specialists, establishment of a formal vocabulary, computer modeling, rendering and animation.

D. The proposed treatment for each specific problem under

In the context of work with distinct phases, as previously described in the research methodology, it may be necessary to clarify the specific treatment of each sub problem. This invites especially well organize its work and allocate each phase a time budget.

Another advantage, it allows to be reactive according to the uncertainties of the study: availability of interlocutors, vagaries of weather, calendar of events.