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负面结果也可以发表,八月底前是free的!

已有 4591 次阅读 2013-5-24 06:31 |系统分类:科研笔记| 发表, free

杂志:F1000Research 


个人觉得这是个很好的信息,也是引导人们回归常识:科学研究中更多的是失败。。。


条件如下:

1, good-quality single-observation articles 注意是质量很好的负面结果!偶认为这个很重要。

2, data    articles (i.e. a dataset plus protocol)

3, 八月底前提交是免费的








F1000 Research

Write up your    negative findings!

We encourage you    to join us in helping to reduce the current positive publication bias in    the scientific record. In addition to more traditional full-length research    papers, we also accept good-quality single-observation articles, data    articles (i.e. a dataset plus protocol), and negative- and null-result    submissions. If you have negative results in your lab notebooks from    well-conducted studies, this is the time to write them up and submit them    to F1000Research    during our free grace period!

 

Negative, and    proud of it!

At F1000Research, we   pride ourselves on transparency and openness, and we encourage the    publication of all sound science - not just those studies that result in    positive findings. That is why from now until the end of August, we are    waiving the article processing fee for articles that report negative or    null findings. Find out more    about this initiative. Quote codeNR13for    free submission when you submit your negative results paper.

Supporters of this    initiative include "Bad    Pharma" author Ben Goldacre:

"Evidence has shown    repeatedly that studies with negative results - most notably clinical    trials - are grossly under-reported in the literature, leading to    publication bias that is ultimately harming patients. This is why we    launched the AllTrials campaign for the registration and reporting of all    clinical trials, and also why this is an important initiative from    F1000Research."



We've already    started publishing negative results articles: last month we published an    article by Mark Peterson of Indiana University, about the genetics of song    birds. Mark's work looked for sequence variants of two genes (known to    affect migration) between migratory and non-migratory birds, but did not    find a correlation in the species he studied. Read Mark's article    and his interview on our blog,    in which he answers a few questions about his work and about the importance    of publishing negative results.


 

Submit your paper:

Please read our    straightforward author    guidelines and then submit using our very simple submission    system, quoting code NR13    at step 6. If you have any questions about submitting your work or to find    out more about F1000Research,    please contact us at research@f1000.com.


 With kind regards,
 Rebecca


 Rebecca Lawrence
 Managing Director
F1000Research




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