Experimentation in Software Engineering has increased in the last decades as a way to provide evidence on theories and technologies. In a controlled experiment life cycle, several artifacts are used/reused and even produced. Such artifacts are mostly in the form of data, which should favor the reproduction of such experiments. However, several challenges have been faced by researchers regarding the experiments’ reproducibility capability. To overcome them, we understand that Open Science practices, such as provenance, preservation, and curation, might aid in improving such a capability. Therefore, in this paper, we present the proposal for an open science-based framework to deal with controlled experiment research artifacts towards making such experiments de facto reproducible. To do so, different models for different open science practices are planned to be integrated into the framework.