I wanted to bring attention to this post on the fear’s of PLOS’s new open data policy from the blog of a neuroscience researcher. It addresses many of the concerns from the scientific research community concerning sharing data, and also highlights several ways that libraries can contribute. I encourage you to read through the comments section to learn more about additional (and innovative) ways researchers are working towards meeting this requirement. The PLOS policy is only the beginning, as many other requirements will begin to emerge in the near future – including government mandates.
Originally posted on motorcar nine:
What is the purpose of this policy? I don’t see how anyone could be fooled into thinking this could somehow help eliminate fraud. Fraud is about intent to deceive, and one can deceive with a selective dataset as easily (or, actually, much more easily) than with Photoshop.
What else? Well, you could comb through the data of that pesky competitor or some other closely related work, looking for mistakes or things they missed that you could take advantage of. Frankly, I can’t imagine bothering. I mean, how could you not have something better to do? Like collecting data. Maybe you’re a stats scold who wants to check the assumptions behind every ANOVA. I can sorta see this… I wish data were presented better in a lot of papers. But I don’t really lose sleep over this for reasons described below.