I hear ya, however, it may be time for a change. Data are already out there, being shared and reused, and the trend is increasing. So, we either figure out ways to recognize and reward "sharing" or suffer the ultimate consequences... In the end, it will become clear (I believe) that it is unethical to not share data in order to advance research. It will also be impractical. Thus, the academic model will have to change. I say that having just taken joined the faculty at the Tetherless World Constellation. Jim Hendler leads the data.gov collaboration that makes US gov't data available in RDF. Check it out and let us know what you think. http://www.data.gov/
Just a few things come to mind. In grad school (cognitive and neural systems dept at Boston University - which grew out of the Center for Adaptive Systems and the Math dept. We said a lot "Adapt or die."
"The times they are a changing"
Nothing endures but change.
"It is not the strongest species that survive, nor the most intelligent, but the ones most responsive to change."
On Aug 14, 2010, at 12:10 PM, Matt Vagnoni wrote:
Well it seems like a utopian model, but at the same time in academics you are judged on your papers and grants. So without some exclusivity it is difficult for academics to cope.
Obviously with a study that couldn't be done without a great deal of cash, collaborations are vital...but as much as I cringe saying it...some sort of exclusivity is needed at least for a brief time. Or the academic model needs to change.
On Aug 14, 2010 3:47 AM, "M. Scott Marshall" <mscottmarshall@xxxxxxxxx> wrote:
I read this article with great pleasure yesterday and immediately planned to blog about it on http://www.w3.org/blog/hcls. It is actually shocking that such an article comes as a revelation but good news nonetheless. How can we discover new (or old) knowledge from data integration if we have no access to the data?
The goals of knowledge sharing are inherently essential to the goals of translational medicine, especially when you use translational medicine to refer to data integration across disciplines. You can get much more out of your data if you share it. Once you decide to share it, you will find that Semantic Web practices will make it much more accessible and 'shareable'. Please spread the word so that we can get on with the science!
On Fri, Aug 13, 2010 at 8:02 AM, Joanne Luciano (gmail) <jluciano@xxxxxxxxx> wrote:
> I thought many of you would enjoy seeing this article from the NYT. Here's the link: http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html ...
Joanne S. Luciano, PhD
Research Associate Professor
Tetherless World Constellation
Department of Computer Science
Rensselaer Polytechnic Institute
110 8th Street
Troy, NY 12180, USA