Speaker
Description
Astronomy as a field has always been strongly driven by advances in instrumentation and the wealth of new observational data obtained with ever more powerful observatories.
To ensure the equal and lasting ability of scientists to analyze data from instruments that may only exist at one observatory, and from astronomical events that statistically may not repeat during human lifetimes, the community places a strong emphasis on efficient, well-documented, and sustainable pathways for research data management and preservation.
In this talk, I aim to give an overview of the data flow in modern astronomy, and of key points in the chain where – sometimes irrevocable – decisions have to be taken. I furthermore will discuss the role of artificial intelligence methods in this picture, as well as open questions that will need tob e addressed for the next generation of observatories.