academia:publishing   105

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Unpaywall
"Read paywalled research papers for free."
academia:publishing  web:browsers 
18 days ago by phnk
About | Scientific Data
"Scientific Data is a peer-reviewed, open-access journal for descriptions of scientifically valuable datasets, and research that advances the sharing and reuse of scientific data.

Scientific Data welcomes submissions from a broad range of research disciplines, including descriptions of big or small datasets, from major consortiums to single research groups.

Scientific Data primarily publishes Data Descriptors, a new type of publication that focuses on helping others reuse data, and crediting those who share."
academia:publishing  data:availability 
11 weeks ago by phnk
Open Access Policy Frequently Asked Questions - Bill & Melinda Gates Foundation
Excellent move. In reply to which, the New York Data Science Community newsletter notes: "Gates Foundation asks its grantees to publish in open access journals. For some reason, the Nature News headline reads, 'Gates Foundation research cannot be published in top journals'."
academia:publishing 
january 2017 by phnk
Germany-wide consortium of research libraries announce boycott of Elsevier journals over open access / Boing Boing
RT @kai_arzheimer: This is huge: #Germany-wide consortium of research libraries boycott #Elsevier journals over open access
academia:publishing 
december 2016 by phnk
Channelling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results
"I follow R.A. Fisher’s The Design of Experiments, using randomization statistical inference to test the null hypothesis of no treatment effect in a comprehensive sample of 2003 regressions in 53 experimental papers drawn from the journals of the American Economic Association. Randomization tests reduce the number of regression specifications with statistically significant treatment effects by 30 to 40 percent. An omnibus randomization test of overall experimental significance that incorporates all of the regressions in each paper finds that only 25 to 50 percent of experimental papers, depending upon the significance level and test, are able to reject the null of no treatment effect whatsoever. Bootstrap methods support and confirm these results." -- Head shot.
academia:publishing  econ 
october 2016 by phnk

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