My PhD work is trying to address this by developing better ways for scientists to record and communicate their methods/protocols. Methods sections are NOT about providing the information needed to reproduce the work, often even the supplemental information is insufficient. They are a best guess at what needs to be done, and the methods section is often massively condensed due to editor demands and cites other papers that also don't contain the relevant information because some aspect of the method changed between papers. (I could go on and on about this.)
I spent 7 years doing experimental biology (from bacteria to monkeys) and trying to replicate someone else's techniques from their papers was always a complete nightmare. Every experimentalist I talk to about this relates the same experience -- sometimes unprompted. Senior faculty tell a slightly different story, that they can't interpret data of someone who has left the lab, but it is the same issue. We must address this, we have no choice, we cannot continue has we have for the past 70+ years, the apprenticeship system does not scale for producing communicable/replicable results (though it is still the best way to train someone to actually do something).
EDIT: An addendum. This stuff is hard even when you assume that all science is done in good faith. That said, malicious or fraudulent behaviour is much harder to hide when you have symbolic documentation/specification of what you claim you are doing, especially if they are integrated with data acquisition systems that sign their outputs. Still many ways around this, but post hoc tampering is hard if you publish a stream of git commit hashes publicly.