Dear Stanford community members,
I am pleased to announce the launch of Data Journal, the first peer-reviewed open access journal dedicated to the publication of negative, null and inconclusive (NNI) results covering any scientific discipline.
According to COMETS (CNRS Ethics Committee), current publications allow access to 10% of all produced scientific data ! In certain disciplines, valuable and important results are unpublished, underexploited or lost, and this is particularly true for negative results that can be completely forgotten. Any result is important for the assessment, improvement or completion of the specific and global knowledge and the stimulation of scientific reflection.
Data Journal has been envisioned and designed to highlight the NNI results, going further than the previous attempts at publication of negative results. Standard article format, which focuses on the implication of positive results, is not appropriate. For NNI results, the core question should be about how these results were obtained. We propose a new article format focused on a comprehensive and detailed Materials & Methods section, for a comprehensive understanding of the results. Moreover, just like the art of Haiku, this new format also highlights the essence of thinking processes and the intellectual intention through its written sections intentionally wanted short and concise.
Finally, we do not agree with the tendency of quantifying the “value of science” through the development of different metrics used to quantify the productivity and/or the impact of scientific journals, articles or authors. We propose a very simple alternative that focuses on articles and the interest they arouse: the Interest Number (IN).
To know more:
http://www.data-journal.
https://twitter.com/data_
https://www.facebook.com/
For the year 2016, the first 5 publications are free for all laboratories worldwide; then open access fee is 200€ / article. 5% of the 2016 and 2017 turnovers will be donated to campaigns promoting the value of the scientific method.
We hope that our passion for science meeting yours will shed light on these neglected but so important data and will promote a better understanding of nature.
Sincerely,
Dr. Damien PARRELLO
Co-founder & Editor-in-Chief of Data Journal
Ph.D in Biogeochemistry, CNRS, LIEC (UMR 7360), France
Biotechnology engineer, Sup'Biotech Paris, Class of 2010, France
| Cet e-mail a été envoyé depuis un ordinateur protégé par Avast. www.avast.com |
-- Liberationtech is public & archives are searchable on Google. Violations of list guidelines will get you moderated: https://mailman.stanford.edu/mailman/listinfo/liberationtech. Unsubscribe, change to digest, or change password by emailing moderator at [email protected].
