Instant and versatile data visualization during the current dark period of the life cycle of FAIR research

This proposal addresses essential changes in current data treatment and prototyping processes to enhance teamwork, communication, and data visualization for the atmospheric chemistry research community. The motivation stems from the shift toward interdisciplinary collaborations, emphasizing team dynamics, and the growing volume of data. However, effectively exploring and visualizing raw data in the early stages of the FAIR research cycle remains a challenge, which we refer to as the "dark period." During this data acquisition phase, early career researchers and scientists encounter numerous non-standardized data formats and highly diverse raw data from scientific instruments. The objective of this proposal is to investigate FAIR ORD procedures using FAIR services like openBIS (https://openbis.ch/) and Renku (https://renkulab.io/), actively developed by service partners in the ETH-domain. The aim is to prototype procedures for rapid data visualization, enabling collaborative data analysis and discussion among team members, regardless of their expertise.