#scidata16: Work reproducibly for the sake of your career

Making sure others can do your experiments doesn’t just help them — it’s good for you, too.

Publishing Better Science through Beter Data writing competition Jonathan Page

A core tenet of science is reproducibility: the results of one scientist must be able to be reproduced by another, lest the findings be dismissed as a fluke or even fraudulent. In today’s data-driven realms of research, ‘reproducibility’ doesn’t simply mean publishing methods, many journals now require that datasets, and the code used to analyse them, be published too. This requirement ensures that both data, and methods, can be scrutinised. If other researchers can’t reach the same results, the study will need to be treated with caution. In doing this, scientists avoid damaging their reputation by publishing flawed studies, and journals avoid publishing bad science. It’s a win-win situation.

So why don’t scientists always work reproducibly?

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Jonathan Page

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The era of big data is coming: Scientists need to step out of their comfort zone

As every area of research becomes data-intensive, emphasis is shifting from data generation to data analysis, bringing new challenges to researchers, says Réka Nagy.

On my first day as a new PhD student, freshly awarded molecular genetics degree in hand, I was sat down at a laptop with an unfamiliar operating system and was encouraged to explore some data using arr. What sounded like pirate speak turned out to be R, a statistical programming language. Yep – for my PhD I swapped pipettes for programming, dilutions for data and spectrophotometers for statistics. Others experienced the opposite, entering the world of biology from a computer science background.

Réka Nagy

Réka Nagy

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#scidata16: Publishing Better Science through Better Data: Writing competition

This competition provides the chance to attend the Publishing Better Science through Better Data October 2016 event, work with a Nature editor and have your writing published here on Naturejobs.

After a very successful event last year, we are again looking for five budding science writers to help with news coverage of this year’s Publishing Better Science through Better Data event.

 

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