I have been a PhD student at Technische Universität München, Germany since May 2012. My research interest is biopolymers: how to produce them, and what to do with them. Where computers come into play? Literally everywhere. And what I need Software Carpentry for? Literally everything.
Nowadays, many tasks in the lab are carried out using computers: from running chromatography systems to evaluating photometric 96 well assays, from rheometry to next-generation sequencing. The usefulness of the skill set covered by Software Carpentry was obvious to me the minute I read about the course contents.
Although I am regarded as the computer nerd at work, there is still plenty to learn. And I found some things I always wanted to be introduced to in the course contents:
Just this weekend I had to take a look at the old files of my bachelor dissertation and what I found in one directory looked something like that:
I was quite astonished to see this, I could not even remember that I did it that way back then. At that time, I never could have imagined that I could just have something like that instead:
Using version control transformed the way I think about organising data. I was familiar with SVN before the SWC course, but it is way too cumbersome to set up and use locally IMHO Now that I know about Git, I can have one and only one file and I can leave the overhead of having different versions to Git. No more cluttering of my working directories. And there are even more benefits to using version control:
There are more advantages of using version control and I recommend every scientist to get familiar with it as soon as possible.
While automating routine work in the lab is common, automating the evaluation of the data generated is not as common. At least in our lab, data from high-throughput screenings are evaluated using Excel sheets, which involves lots of copying of data back and forth. Using SWC skills we can tap into the enormous potential of automation:
Software Carpentry taught me that out there are numerous other people who think like me on these issues. Therefore, I hope to slowly creep in these "new" technologies into the everyday life of everybody in the lab.
Originally posted 2013-10-01 by Steven Koenig in Community, Experience Report.comments powered by Disqus