Managing Knowledge - The Importance of Databases in the Scientific Production

The process of knowledge management results from the need to survive in a world dominated by innovation, and the need for its management is based on the creation of value. Knowledge is a process that occurs in three steps: creation, exploitation and maintenance. This steps lead to the creation of new knowledge, that in turn are feed by relations created among disciplines. This knowledge must be shared, and organizations shall find a way to do it in order to survive. So, databases might be a solution to promote creation of value and scientific production.In this research one has done a review of state of the art, being this one an evaluation method that allows deepening about the subject, answering for the purpose of this paper. The question that is to answer is the following: what is the importance of databases in the scientific production? Collecting papers about subjects as knowledge management, databases and other, was the point of departure to get to a conclusion about the posed question.In this study one can conclude that the objective is to create an automatic database that manage knowledge properly so that users just have to use it in a simple and quick way. Related to this, databases exist, but still present several limitations as for example involving manual work such as experts' validation. Although the impact of databases is not studied by literature, transdisciplinarity suggests that it would be favorable to scientific quality production: if we consider network as an enabler of scientific production, and if we consider databases a form of networking, it leads us to think that it would contribute to scientific quality production too.