tonyfast deleted file big-science.md  about 10 years ago

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# Big Science  En masse, science is becoming really big science. An new paradigm for science is emerging that is making collaboration in science much easier. There are some very strong advocates for open science that aim to evangelise the science community at large. At the same time, Software as a Service (SaaS) tools are enabling a more open science. Cloud based storage and computing services provided by Google, Dropbox, and Amazon are pervasive in research science. Software is making it easier for researchers to communicate, share, and access information. Software is enabling the Big Data infrastructure that industry demands and it is beginning to support the scientific community, too. But, the pantheons of science are fighting back with more technologies, more variety, more data formats, more ~~ideas~~assumptions which complicate software development. There is a big difference between research science and software development, but big science hinges on a smooth interface between the dissemination of research and software requirements.  There is a distinct generation gap in science. The current thought leaders from GenY and prior have grown up on the fringe of science, they have worked in small fishbowls, small communities that are indicative of the times they were raised in. The newest breed of scientist has learned to exist is a mobile and social manner shattering all ideas of community boundaries. For the new generation, science isn't designed for them; they lead disparate digital lives in science and their personal life. This dissonance will not exist for long, really their is no point in resisting.  Before our eyes science is becoming more open and it is going under the radar of many scientists. The driving force behind this transition is software; software that the mobile and social generation are building. I really hope that in the future that no scientist ever scientist says, "\textit{I'm going to build a GUI for it.}". The early open science evangelists are using software that is designed for science like Authorea, Plot.ly, and Figshare . Larger infrastructures like Google, Dropbox, and Amazon Web Services are offering semi-open science tools that scientists use often. The common element behind each piece of software is that it is all Software as a Service; the software is mobile and social.