Walking the walk: how the scientific community is embracing open data

Open data is the new normal, says Anastasia Greenberg.

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The 2017 Better Science through Better Data event in London, UK, hosted by Springer Nature and Wellcome, was a full day exposé of emerging open data practices, tools, strategies, and policies. Among the potential benefits of open data are replicability, reproducibility, and reusability. While open data is a relatively new hype, some evidence suggests that open data does indeed increase reproducibility.

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Five things you can do today to make tomorrow’s research open

Early career researchers have an essential role to play in the move towards open research, says #SciData17 writing competition winner Sarah Lemprière.

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The struggles of female and underrepresented scientists

Initiatives to increase diversity among faculty members—particularly in science, technology, engineering and maths (STEM)—have prompted efforts to track university recruitment and retention of women and underrepresented minorities (URM). Three new US studies shed light on the issues, including salary and publication rates.

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Why scientists should communicate science – getting to the heart of the matter

Communicating science effectively needs more than facts, says Eileen Parkes.

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What Can You Be with a PhD?

What does it take to land your dream job beyond academia? Do PhDs even have marketable skills? the 2017 What Can You Be with a PhD career symposium has some answers, reports Elisa Lazzari.

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Abandon ship, or learn to swim: the gamble young scientists must make

For scientists, there’s nothing more frightening than a major grant rejection. With the scarcity of funding at the forefront of everyone’s thoughts, it’s time to talk about options, says Atma Ivancevic.

Job stability and a career in research are rarely put together. Science is a windy, grueling, uphill climb that might end abruptly at the edge of a cliff. Halloween is a particularly scary time for Australian scientists, as it signals the release of #NHMRC project grant results. Right now, many laboratories are facing difficult decisions due to rejected funding for next year. It’s not a surprise — we see it everywhere — yet it’s a shock that affects the entire scientific community. For early career researchers across the globe, it’s a timely reminder to carefully consider and plan for the future.

So, what are your options?

 

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TechBlog: MODs get a unified search portal

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For decades, the research communities surrounding the major model organisms have each had an online place to call home. There’s the SGD, MGD, and RGD — the Saccharomyces, mouse, and rat genome databases, respectively; FlyBase and WormBase for Drosophila and C. elegans; and ZFIN, the Zebrafish Information Network.

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Boyfriends and husbands may put female researchers at a hiring disadvantage

Married and partnered female researchers may be less likely than their male counterparts to land a junior-faculty position at US universities, finds a study.

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By Paul Smaglik

Female candidates’ – but not male candidates’ — relationship status was a primary consideration in hiring committees’ discussions and decisions, according to study co-author Lauren Rivera, an associate professor at the Kellogg School of Management at Northwestern University in Evanston, Illinois. She found that committee members assumed that heterosexual female candidates whose partners or husbands held academic or high-status jobs could not relocate for the job, and excluded them from offers when the committee had viable male or unpartnered female options. Yet, she says, committees — whose members included women — rarely discussed male applicants’ relationship status and assumed that those candidates’ partners or wives would be able to move for the position if an offer were made.

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TechBlog: Timothée Poisot: Data science for the rest of us

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Timothée Poisot recently travelled to London for MozFest 2017, “The world’s leading festival for the open Internet movement.” There, the quantitative and computational ecologist at the University of Montréal in Canada ran a session entitled “Scientific computing for the terabyte-less.” Here, he tells Naturejobs why life science research needn’t necessarily follow the Big Data model.

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