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Eleven tips for working with large data sets – Nature (Anna Nowogrodzki | January 2020)

Posted by saviorteam in Research Integrity on January 22, 2020
Keywords: Analysis, Big data, Good practice, Guidance, Research integrity, Researcher responsibilities
A wordcloud around the concept of "BIG DATA"

Big data are difficult to handle. These tips and tricks can smooth the way.

Big data are everywhere in research, and the data sets are only getting bigger — and more challenging to work with. Unfortunately, says Tracy Teal, it’s a kind of labour that’s too often left out of scientific training.

“It’s a mindset,” says Teal, “treating data as a first-class citizen.” She should know: Teal was until last month the executive director of The Carpentries, an organization in Oakland, California, that teaches coding and data skills to researchers globally. She says there’s a tendency in the research community to dismiss the time and effort needed to manage and share data, and not to regard it as a real part of science. But, she suggests, “we can shift our mindset to valuing that work as a part of the research process”, rather than treating it as an afterthought.

Here are 11 tips for making the most of your large data sets.

Read the rest of this discussion piece

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