Tag Archives: scientific

Science’s fake journal epidemic

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Predatory publishers, peerless reviews and those who fight against the destruction of the scientific approach.

The landscape of scholarly communication falls into two main categories: a paid access business model, where journals require readers to pay for access to an article or a subscription to the entire journal itself; or open access journals, which charge authors to publish but make content available free of charge and without restrictions to readers. The rise in popularity of open access journals has resulted in more than 50 per cent of new research now being made available free online. Legitimate open access journals such as PLOS and BioMed Central have been essential in allowing greater access to science, a higher volume of published work, improved education and a greater scope for scientists to publish negative results.

Jeffrey Beall{credit}Kevin Moloney/The New York Times/Redux/eyevine {/credit}

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How to wake up early

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Here’s another infographic — this time helping you to wake up early (and why that’s important)

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#scidata16: Open data should be easy

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There’ll always be reasons not to share data. It’s time we stop making excuses and start making plans, says Atma Ivancevic.

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.

“Open data should be easy,” said Dr Jenny Molloy from the University of Cambridge as she explained the importance of building a data management plan. She pulled up a poster of a missing black backpack: “CASH REWARD” it read, “contains 5 years of research data which are crucial for my PhD thesis!”  I laughed along with everyone else, internally reflecting how similar my life had been before I discovered version control.

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Think you don’t need a research data management plan?

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Finding job satisfaction in industrial research

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After finishing a PhD and postdoc studying the cellular mechanisms behind cardiovascular disease, Shikha Mishra decided not to continue in academia.

She found she could still do the work she loved at the bench by doing product development research at Thermo Fisher Scientific.

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Your best work might be just around the corner

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A recent finding shows that a scientist’s career can peak at any age.

Ever wonder when you’ll publish that big paper that’ll win you the Nobel Prize (or at least a new research grant)? Turns out, it could be your next.

As Nature News reports, a new equation, developed by a team led by Albert-László Barabási at Northeastern University in Boston, Massachusetts, shows that papers published at any point in a scientist’s career have equal chance in becoming their most highly cited work. It might be sensible to keep that in mind the next time you’re struggling through centuries of data analysis, or when your thumb starts to bruise from more and more mindless pipetting.

You can watch a video explainer below, and find the paper here.

 

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Scientific writing: A very short cheat sheet

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Meenakshi Prabhune has a golden rule for effective science writing—keep it simple.

The life of a researcher is incomplete without undergoing the trauma of writing scientific documents: papers, grants, protocols, theses, and so on and on. Most researchers find this stressful, time-consuming, and difficult; and, despite the enormous time and effort invested in writing, I for one often come across close-to-incomprehensible papers while digging through the literature. Why is that the case, and how do we fix it?

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What are the benefits of reproducibility in science?

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There has always been an element of risk in science, which is why data must be reproducible, explains Ellen Phiddian.

On June 6, 2012, I skipped class to watch the transit of Venus. I was studying in Adelaide, Australia, where the transit lasted from early morning until mid-afternoon and we had a wonderfully sunny day to view it. If I had known a bit more about the history of the transit, I may have been more thankful for that.

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A view of Venus from over the Indian subcontinent. This photograph was taken by Japan Aerospace Exploration Agency (JAXA) astronaut Kimiya Yui from the International Space Station on December 5th, 2015

In the 1760s, astronomers made long and convoluted journeys across the globe just to observe Venus crossing the Sun. Scientists at the time wanted the transit recorded from as many continents as possible, so they could use the data to calculate the distance between the Earth and the Sun. It took years of effort and huge sums of money to orchestrate such a viewing. Continue reading →

Uncertain Airspace: Changing career paths is disorienting and exhilarating

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Pursuing a new career makes PhD student Jonathan Wosen feel like a baby goose—and he loves it.

Sometimes I ask people, “if you weren’t studying biology, what would you do?”

At first, they’re taken aback, and I don’t blame them. PhD students are self-selected for a certain kind of persistent, focused thinking; that’s what it takes to become the world’s leading expert on your thesis project. We are as deeply immersed in our work as a fish in water. That makes asking a graduate student to consider a different field of study a lot like asking a fish to imagine life on dry land.

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“We are as deeply immersed in our work as a fish in water. That makes asking a graduate student to consider a different field of study a lot like asking a fish to imagine life on dry land.”

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How is the rise of data-intensive research changing what it means to be a scientist?

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Data-intensive research requires a new breed of scientist: interdisciplinary analysts who enjoy swimming in data, says Atma Ivancevic.

There has always been an emphasis on the generation of novel data in science. Being a scientist involves progressing from observation to hypothesis to experiment to output. In the past, a combination of scarce data to look at and low throughput machinery to make more has led to limited experimental outcomes.

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Atma Ivancevic

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

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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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