Journal Editors to Researchers: show everyone your clinical data

"...last Wednesday, the editors of the leading medical journals around the world made a proposal that could change medical science forever. They said that researchers would have to publicly share the data gathered in their clinical studies as a condition of publishing the results in the journals. This idea is now out for public comment".

See:
http://www.npr.org/sections/health-shots/2016/01/26/464010931/journal-editors-to-researchers-show-everyone-your-clinical-data  

Nature post: Repetitive flaws: Strict guidelines to improve the reproducibility of experiments are a welcome move.

From next week, scientists who submit grant applications to the US National Institutes of Health (NIH) will be asked to take a little more care. As part of an increasing drive to boost the reliability of research, the NIH will require applicants to explain the scientific premise behind their proposals and defend the quality of their experimental designs. They must also account for biological variables (for example, by including both male and female mice in planned studies) and describe how they will authenticate experimental materials such as cell lines and antibodies.

Read the full post at:

http://www.nature.com/news/repetitive-flaws-1.19192?WT.ec_id=NATURE-20160121&spMailingID=50507456&spUserID=NDg3Mjc3MjM4MzYS1&spJobID=842660933&spReportId=ODQyNjYwOTMzS0

Nature article: The unsung heroes of scientific software

The unsung heroes of scientific software

Creators of computer programs that underpin experiments don’t always get their due — so the website Depsy is trying to track the impact of research code.

For researchers who code, academic norms for tracking the value of their work seem grossly unfair. They can spend hours contributing to software that underpins research, but if that work does not result in the authorship of a research paper and accompanying citations, there is little way to measure its impact.

Enter Depsy, a free website launched in November 2015 that aims to “measure the value of software that powers science”.

Read the full story:

The unsung heroes of scientific software
Singh Chawla, Dalmeet
Nature, Vol. 529 Issue 7584 – 2016: 115 - 116

10.1038/529115a

Data sharing: An open mind on open data

• Virginia Gewin

Nature

529,

117-119

(2016)

doi:10.1038/nj7584-117a

The move to make scientific findings transparent can be a major boon to research, but it can be tricky to embrace the change.