Scan the questions sections for #OpenScience, #Science20, #OpenAccess and you will notice that the vast majority by far, are spending significant Q&A on what is wrong with Open Science, what does not work, and what could (or has) horribly gone wrong. Makes you wonder how high the h-index on those questions gets, and how representative that is of reality.
Although exposing fraud, plagiarism, bad publisher service, and poor quality is essential to prevent other falling victim, it is hardly as inspiring or motivating. Actually, it can give the wrong impression to the novice, and be dangerous.
So, let's balance the discussion and focus on the what works, by apply the scientific method to gauge the positive side of #OpenScience (if any). There are many shining examples of how #OpenScience can boost your career profile, on the way to that tenure.
OS practioners, we know you are out there, so don't be shy and tell us how you integrate OS in your daily workflow, and in what measurable ways does #OpenScience contribute to your profile and impact?