Current development of science determines generation of excessive volume of information, but fails to develop appropriate methods for analyzing them. On the other hand, a user finds it hard to navigate simply through this flow of knowledge, to analyze and evaluate them, because they are renewed quickly. This would be the task of databases of literature, biological sequences and other knowledge, that are created, containing based on keyword information retrieval tools via the user interface. But, this search often turns into "fishing information" that determines time trifling, often not taken into consideration as part of a scholar or researcher work. Thus, the aim of research was to evidence aspects of scientific literature search in databases for realization of systematic review. As the object of study served information about sunflower, stored in different databases accessed from NCBI portal [1], using SUNFLOWER as keyword, in three different periods during the year: May 10, 2010; October 10, 2010; April 10, 2011.Figure 1. Data volume in the databasesfigureExploratory analysis through NCBI portal was chosen for the initial investigation as it is essential compartments in bioinformatics, starting with the primary and up to scientific articles. Subsequently, to demonstrate that the information on sunflower still accumulates, it was proposed indirect search of information, electronic network using the Internet through the Google search machine [2], and a search through the database PubMed [3] articles compiled through the portal BioMedCentral [4] scientific literature. These observations allow to assume that the dynamic evolution of quantitative data on a particular species can be used as an indicator species of scientific interest to date and forecast expectations, as the surge in information content. However, the dynamics of this probably can be established for a series of model plants for which scientific interest is high and the model applied to analysis of data for other species.