Open Access News

News from the open access movement


Sunday, January 15, 2006

OA support for open-source science

"Reason", On Information Infrastructure in Biotechnology and Medical Research, Fight Aging, January 14, 2006. Excerpt:
The present information infrastructure in biotechnology and medical research is quite simply not up to the task at hand - dramatic advances in our ability to generate data have outstripped the development of processes and tools to make that data useful. This problem manifests itself in the form of lost opportunities, duplicated or wasted effort, and missed answers. In other words, progress in medical science is nowhere near as fast as it could be, just using the technologies of today. Fortunately, this truth is no great secret: everyone knows, and resources are being directed into the development of solutions. On the process side, we have the move towards open access journals and other forms of open publication. The Public Library of Science is shifting it's weight into clinical trial data....I see the main benefit to open publication strategies being the platform they provide for open-source models of development in automation, tools and processes of data management within the scientific community. If the data is free, the only cost to building a better utilitization of that data is your time ... and we've seen that this situation produces very impressive end results in software development. The closed journals - and their business models - are a roadblock to that sort of progress, and I think that roadblock is becoming a real problem in the information-rich fields of biotechnology and medicine....The informational side of biotech looks a lot like the open source movement of ten years ago - many competing standards, lots of good ideas and a real froth of software. An example of the sort of tools I'm talking about is the work of Butte and Kohane [PS: see yesterday's blog posting]....If progress in biotechnology and medicine is to continue at the present healthy pace - especially in very complex problems that span many comparatively isolated fields, such as addressing age-related degeneration - then the research community must successfully deal with the problem of data management.