My point is that there are large fields where we may not get access to open source data in the foreseeable future; in the meantime, we are depriving ourselves of potentially useful or valuable knowledge. Imagine if you could reduce the number of traffic deaths by analyzing a closed data set from Lyft or Uber; is this worth doing, or should we just tell the PhD candidate not to bother?