"On the left you can see features of good science, with authors providing their data and software code, and in the best cases…

“On the left you can see features of good science, with authors providing their data and software code, and in the best cases even using pre-registration of their study and version control for maximum transparency. The grey area in the middle shows questionable research practices, which can include p-hacking, sloppy statistics, peer review abuse etc. On the right side and marked ‘red’ is scientific misconduct as commonly defined (falsification, fabrication, plagiarism). Between the grey and red are is data secrecy.”

http://blogs.lse.ac.uk/impactofsocialsciences/2015/07/03/data-secrecy-bad-science-or-scientific-misconduct/