Several studies dealing with music recommendation and visualization base their approaches on datasets gathered with user surveys. However, the gathering procedure is seldom the focus of music research, even though the user interfaces and methodology are an important part of gathering the music data and evaluation of the music information retrieval algorithms. The paper presents the main elements of gathering the Moodo dataset that combines the demographic data, the users' mood and perception of emotions with the users' emotional and color responses to music. For this purpose, two novel user interfaces were developed, i.e. the MoodStripe and MoodGraph, which have several advantages over the existing classical models, both in terms of intuitiveness and functionality. The proposed interfaces are also applicable to other domains dealing with the user data.