Todd E. Katzner
2015
<p><span>There has been a great deal</span><span> of attention paid recently to the idea of data sharing (Van Noorden </span><a id="xref-ref-8-1" class="xref-bibr" href="http://bioscience.oxfordjournals.org/content/65/11/1037.full#ref-8">2014</a><span>, Beardsley </span><a id="xref-ref-2-1" class="xref-bibr" href="http://bioscience.oxfordjournals.org/content/65/11/1037.full#ref-2">2015</a><span>, Nature Publishing Group</span><a id="xref-ref-5-1" class="xref-bibr" href="http://bioscience.oxfordjournals.org/content/65/11/1037.full#ref-5">2015</a><span>, </span><i><a href="http://www.copdess.com/">www.copdess.com</a></i><span>). However, the vast majority of these arguments are in agreement and present as </span><i>fait accompli</i><span> the idea that data are a public good and that therefore, once published, they should become open access. In fact, although there are many good reasons for data sharing, there also are a number of cogent and coherent cases to be made against open-access policies (e.g., Fenichel and Skelly </span><a id="xref-ref-3-1" class="xref-bibr" href="http://bioscience.oxfordjournals.org/content/65/11/1037.full#ref-3">2015</a><span>). The goal of this piece is not to debate the relevance or accuracy of the points made in favor of data sharing but to elevate the discussion by pointing out key problems with open-access policies and to identify central issues that, if solved, will enhance the utility of data sharing to science and society.</span></p>
application/pdf
10.1093/biosci/biv131
en
American Institute of Biological Sciences
Do open access data policies inhibit innovation?
article