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How will open data advance scientific discovery?

Posted by Jack Leeming | Categories: , , , , , ,

How will open data advance scientific discovery?

As a global population we are generating more data than ever before. The International Data Corporation (IDC) estimates that by 2020 over 80 million gigabytes of data will be produced every minute. Each second, the world will generate enough data for a 50-year-long Netflix binge. Scientific investigation is a big part of that: every day huge amounts of data are generated on everything from the behaviour of supernovae to the 3D structure of proteins in the brain. When the world’s largest radio telescope comes online in 2020, it alone will produce 180,000 gigabytes of data a minute.  Read more

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Remapping the scientific landscape: moving from a closed to open science world

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Remapping the scientific landscape: moving from a closed to open science world

Better Science through Better Data writing competition winner Anastasia Greenberg  … Read more

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From Doctorate to Data Science: A very short guide

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From Doctorate to Data Science: A very short guide

Are you one of the many PhDs considering a career in data science? I completed a PhD in neuroscience at Stanford three years ago; now I’m a data scientist at Uber. During my time in industry, I’ve found that the skills we develop in graduate school, such as analytical thinking, statistics, communication skills, and – oh yes – tenacity in the face of adversity, make us a great fit for the role.  Read more

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Ask not what you can do for open data; ask what open data can do for you

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Ask not what you can do for open data; ask what open data can do for you

It has been shown that research articles receive more citations when they have their underlying data openly linked to them. With this in mind, it’s time to consider not just the ideological reasons for making research data open, but the selfish benefits of openly sharing data that all researchers can (and should) be taking advantage of.  Read more

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Promoting open science from a pub: the Panton Principles

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Promoting open science from a pub: the Panton Principles

In a world where scientific discovery is driven by impact factor and funding, the idea of open data may seem idealistic. But the open data movement has been growing since the early 2000s, spurred by the rise of big data and computational capabilities. For the sake of reproducibility in science, we need to encourage data sharing after publication.  Read more

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Successful vs. effective research presentations

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Successful vs. effective research presentations

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Is a picture worth a thousand words?

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Is a picture worth a thousand words?

Translating the results of a research project into a 10-minute presentation or article can be a difficult task. It must be informative but also succinct and appealing. It has to tell an interesting story. It has to entertain. And you shouldn’t have too much text.  Read more

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The way to success in science

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The way to success in science

A degree in science is just one stepping stone on a long path with varied exits, curves and about-turns. Choosing wisely is not always an easy task, but there’s no right way to success: there’s a whole lot out there to choose from.  Read more

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#scidata16: Open data should be easy

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#scidata16: Open data should be easy

On the morning of October 26, 2016, a group of scientists convened in London to discuss the state of open data. The third Publishing Better Science through Better Data conference kicked off with morning tea, international introductions, and furious scribing from @roystoncartoons. The premise was simple: “Today is all about being open”, said conference chair Iain Hrynaszkiewicz. We settled in to learn the advantages of data sharing at both the individual level and for the scientific community at large.  Read more

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#scidata16: Boost research and avoid embarrassing retractions by working openly and reproducibly

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#scidata16: Boost research and avoid embarrassing retractions by working openly and reproducibly

Speakers at the Publishing Better Science through Better Data (#scidata16) conference addressed these issues and more.  Read more

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