Scientific communities can be seen as highly focused organizations, composed of people performing strict patterns of behavior. The growing body of scientific data available digitally, as well as new infrastructure of distributed access, has given to funding agencies, politicians and scientists in general the foresight of novel possibilities of discovery and innovation reusing those data. Many stakeholders now expect the data to be released, although relevant sharing rates are not always verified. In this paper, we propose a method to bring forward and represent these interests. Applying this method, we investigated how the availability of software capable of data storage and sharing can act upon their users, and whether it makes them more suitable to share research byproducts. Results show that, although current software empowers the scientists to carry out their own research, it still does not create a path through which users can make their interests spread among other stakeholders.