Except for the fact that some experiments are taking decades themselves or are one part of a long progression of related experiments. So continuity of software

Except for the fact that some experiments are taking decades themselves or are one part of a long progression of related experiments. So continuity of software and data through generations of students, postdocs and even professor types is needed. Even for short-lived experiments reproducibility is important. So much of today's experiments ultimately rely on complex stacks of software to get their results and on data which humans can afford to acquire only once. Preserving both is necessary for future re-validation or reuse. This problem should not be excused.