This is all about a typical researchers life. An outlook of common science misconception and its socio-economic relevance are channeled through the eye of a researcher. How there research life is contradictory to the real life?, Is it possible a single life for true researcher? How to be an ecologist in a consumerised society. Are truth in science or the Science of truth are same?. Is our existence is real?. How open source technology could change citizen research, what are the limitations, how a amateur Researcher could effectively chase his answer. Here in my writings I focused on analytics using R programming concepts, and its applications, along with possible inventories using Arduino prototyping, protocols and scientific practices for a standalone researcher.
R is a powerful computation program, generally known as an environment for statistical computation and graphics. Nowadays this program is an essential tool for data scientists. The importance of R on research field is inevitable, when the data-sets are complex and huge in number.The researchers have to be involved with collection, preparation, analysis, visualization, management, and preservation of large set of information. But unfortunately most of the researchers, especially biologists/ecologists are not have enough time to spend on coding,especially when they are in the middle of their research projects. But keep in mind the famous quote:
― Abraham Lincoln
Learning R for your research have same effect, it will sharpen your skills. From my own experience, I done my six month estimated data analysis within 6 hours. Most people thinks that R is just a program for statistical analysis. I must tell that, It is the bare minimum knowledge of R they have. In this post, I am trying to tell the possibilities of R. Whatever your research is, or what kind of data you are dealing with, R is the solution.
Open source Techs
Creating more possibilities to get your imagination at work. Here I would like to go through on my own experiences with my pet projects. Arduino prototyping is well polished frame work for digital electronics, and physical computing. Arduino is a classic example of open source hardware. Nowadays it is popular due to its easiness in learning, and can be used for non-tech users like artists or musicians. The micro-controller and its ancillary hardware components are cheap and effective in tailoring stuffs for an average researcher. You could compare the cost effectiveness with arduino, when you deal with a third person for setup an automated experimental setup. I bet you must choose arduino. On the other hand Raspberry Pi, which is a small and affordable computer, which have a powerful hardware interfacing technology. It supports a variety of Linux Os and handy for those who are dealing with multi computing platforms for data acquisitions. Suppose you want to attach a new hardware(microscopes, oscilloscopes etc) to your laptop for your convenience and security, but unfortunately your laptop doesn’t have ports. This can be easily resolved by configuring a raspberry with your system, or by raspberry alone.