Scientific and technological connections between specialists in injectable oncology: a contribution to public health from the analysis of the Lattes database

Abstract With the exponential increase in the amount of data generated daily, the interest of organizations in developing strategies for handling Big Data has intensified. An example of Brazilian Big Data is the CNPq Lattes Platform, which allows extracting information from the curricula of researchers registered therein. One of the limitations on the platform is that the information is arranged individually for each researcher and without an indexing standard, making it impossible to extract data from researchers simultaneously. To remedy this problem, the ScriptLattes software was developed, used in the present study, to extract information from the curricula of researchers in injectable oncology, to obtain a panoramic view of their technical and scientific productions. Regarding the activities carried out by these specialists in the analyzed period, a total of: 85,465 published complete articles, 24,068 technical productions and 13,496 implemented projects were observed. Networking analyzes performed applying Gephi software pointed Dr. Fernando de Queiroz Cunha, from the Faculty of Medicine of Ribeirão Preto (USP), as the most prominent researcher in the area. Despite the limitations of the Lattes Platform, the results proved to be efficient, enabling the generation of scientific and technological knowledge in injectable oncology at various institutional levels.