FAIR data visualization
This project develops changes to current data treatment exploring and prototyping processes to foster teamwork, effective communication, and improved data visualization to the benefit of the entire atmospheric chemistry research community. Motivation comes from the ongoing move towards interdisciplinary collaborations and strong team focus as well as the fast-growing amount of data, while it remains a challenge to effectively explore and visualize raw data in the early stages of the FAIR research cycle. The latter is what we call the “dark period”, i.e. the data acquisition phase of a science project, where scientists, in particular early career researchers, are faced with myriads of non-standardized data formats and highly diverse, raw data output from scientific instruments.