TechBlog: Git: The reproducibility tool scientists love to hate
Early in his graduate career, John Blischak found himself creating figures for his advisor’s grant application. Read more
Early in his graduate career, John Blischak found himself creating figures for his advisor’s grant application. Read more
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. Read more
Naturejobs journalism competition winner Jiska van der Reest … Read more
Funding agencies should not penalize poor performers; instead they should reward good mentorship, says Ahmed Alkhateeb … Read more
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
Speakers at the Publishing Better Science through Better Data (#scidata16) conference addressed these issues and more. Read more
The call for reproducibility has never been stronger in the history of science. Since two major pharmaceutical companies, Amgen and Bayer, reported in 2011/12 that their scientists were unable to replicate 80-90% of the findings in landmark papers, scientific news outlets have caught up on the issue. Their reports have catalyzed conversations among stakeholders (policy makers, funding agencies and scientists) to improve reproducibility in science. Read more
Publishing Better Science through Better Data writing competition winner Emma Vander Ende. Read more
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