Research data are important inputs for the production of knowledge. The appropriate management and curation of these are ways to avoid the constant loss of data reported in the literature. Thus, this paper presents the modeling of the life cycles of research data and the classification of these as a way of guiding the promotion of good management practices and curation. Based on these assumptions, the data life cycle generated by the Yellow Fever Project - Fiocruz-Minas is modeled and the data are typified. In addition, weaknesses and possibilities for the management of research data of the Yellow Fever project are pointed out.