The project aims to advance techniques for a discounted quality for a responsible data science, i.e., to design sustainable data analysis pipelines based on HITL approaches for achieving quality data. The main results focus on developing task- and context-driven sustainable HITL approaches for data preparation, data quality analysis, and data visualization, in the direction of contributing to research at the European level, with proposals for initiatives to build up new types of data spaces.