This is changing drastically. The issue is that more and more science relies heavily on computation. Analytic platforms, computational science, modeling/simulation, etc. There's less "bench" science and more of the scientific process is being embedded in software.
There's a certain degree of naivity in this process that SMEs think it's a trivial step translating their research into software. It's not, not if you demand the rigor science should be operating at. As such, many budgets are astronomically lower than they should be. This has worked in the past but as more science moves into software and it becomes more critical to the process, you must invest in the software and it's not going to be cheap. The shortcuts taken in the past won't cut it.
There's a bigger issue in that as a society we don't want to invest in basic research so it's already cash strapped. Combine that with research scientists who already have to cut corners with the massive cost quality software will take and you're creating a storm where science will either produce garbage or well need to reevaluate how we invest in software systems for science.
There's a certain degree of naivity in this process that SMEs think it's a trivial step translating their research into software. It's not, not if you demand the rigor science should be operating at. As such, many budgets are astronomically lower than they should be. This has worked in the past but as more science moves into software and it becomes more critical to the process, you must invest in the software and it's not going to be cheap. The shortcuts taken in the past won't cut it.
There's a bigger issue in that as a society we don't want to invest in basic research so it's already cash strapped. Combine that with research scientists who already have to cut corners with the massive cost quality software will take and you're creating a storm where science will either produce garbage or well need to reevaluate how we invest in software systems for science.