In this clip, Dr. Pieter Dorrestein talks about how he's using a Facebook-like tool to increase collaboration among researchers.
Dr. Dorrestein is professor at the Skaggs School of Pharmacy and Pharmaceutical Sciences at the University of California at San Diego. He delivered a lecture at NIH in April 2015 on “Social Networks For Molecular Analysis.”
Watch his lecture here:
Q: Could you please talk about how you are using a Facebook-like tool to increase collaboration among researchers?
A: The Facebook-type tool that we’re building is essential infrastructures being built together with [inaudible] in the computer sciences at UCSD. One of the key ways that it allows you to collaborate is that you share all the data. It becomes publicly accessible, and that’s really one of the key aspects, is when you build communities around your data all for people that are interested in. So you can actually have different communities that can be built around this type of an infrastructure, and maybe their annotation, but when they do their annotation, that information gets conveyed to other people and so you really get a global-wide learning. Right now, we have people from 71 countries that are already using this particular tool, and it’s neither published or, you can’t find it in Google but it means that the ability to organize and visualize data is really becoming important, and I like the social aspect because that’s how you’re going to find mistakes and errors. I think in the early days when people talked about Wikipedia, you couldn’t depend on it, now I think many people will do their first search and they will look at Wikipedia and get a lot of information and it’s becoming more and more reliable at the same time at least for a first-pass lookup. And I think the same is true for the analysis of molecular information that, you know, the community contributing, then you have corrections by the community, improvements by the community, and so it becomes a much more reliable resource.