#informatics need a study. If a dataset/paper is CC0 does it increase the *citations* relative to *any* more restrictive CC (I suspect so).TL;DR There are lots of hints, but apparently no direct studies that address this.
— Matt Yoder (@mjyoder) July 30, 2014
Two important bits of clarification based on my original thoughts. I was only interested in cc licensed data. I was not asking whether cc0 data is reused more than other cc- data, just whether cc0 data gets *cited* (yes, citations = bad metric, so use a generic "pointed to" perhaps) more than other cc- data, particularly cc-by.
The basic premise is that the best way to (ultimately) bring focus to your work is to make it completely free, and that this will bring more attention, in the long run, than requiring attribution.
"Unethical" people will use open data regardless of the license, however they want, so they are wash, and it follows that we can eliminate them from the conversation. If this premise is accepted (it is just a premise) then any possible mechanism that causes someone (i.e. an "ethical" person) to pause before they use a dataset will result in that dataset being less widely cited. Cc-by, however innocuous, is a mechanism that will cause some to pause. I'm not claiming this scenario as my idea, it is straightforward enough that many have thought of it. What's curious is that it seems that perhaps no-one has tested it explicitly.
Many thanks to all who responded with insights (see conversation by clicking on tweet) here is a list of tweeted links for future reference:
- @kcranstn - https://t.co/2XzkgzPfzW
- @an_dre_a_ - https://t.co/BuQQ9aTswe , http://t.co/p0uQzTSwMK , http://t.co/Py0ch1nFVg http://t.co/Py0ch1nFVg
- @evoMRI - https://t.co/ofZiG60Bzg , http://t.co/ycjRbs2cb6 , http://t.co/KzcH9Q14gV , http://t.co/ycjRbs2cb6 , http://t.co/EEdT6FvP0w , http://t.co/59UMmEO158 , https://t.co/4tchUVE585 , http://t.co/qpxm9yDSsB , http://t.co/HmJTtdAchm , http://t.co/NAhQB14U9u
- @nniiicc - http://opcit.eprints.org/oacitation-biblio.html