Publishing science without results and recycling research
- Original Paper
- Published: 27 December 2017
- Volume 16 , pages 1–4, ( 2018 )
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- Eric Lichtfouse ORCID: orcid.org/0000-0002-8535-8073 1
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Most scientists focus too much on publishing original articles. In doing so, scientists are restricting their writing skills to this form of highly specialised publication, which is poorly readable by scientists from other disciplines. In the context of rising interdisciplinary research and data abundance, there is a need for more publications that recycle existing research and communicate to a wider audience. Therefore, I present here five types of publications that do not require additional experiments, namely reviews, methods, data papers, meta-analyses and videos. Benefits include more citations, larger visibility, wider dissemination, easier job finding, grant success and better recycling of research.
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Acknowledgements
I thank very much Prof. Dr. Jan Schwarzbauer, RWTH Aachen University, for advices to improve this manuscript.
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CEREGE, Aix-Marseille Univ, Coll de France, CNRS, INRA, IRD, Europôle Méditerranéen de l’Arbois, 13545, Aix en Provence, France
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Lichtfouse, E. Publishing science without results and recycling research. Environ Chem Lett 16 , 1–4 (2018). https://doi.org/10.1007/s10311-017-0690-7
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Received : 14 August 2017
Accepted : 08 December 2017
Published : 27 December 2017
Issue Date : March 2018
DOI : https://doi.org/10.1007/s10311-017-0690-7
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We propose that you act like a scientist and try these three simple writing "experiments" designed to enhance your writing effectiveness, efficiency, and even enthusiasm. Experiment One: Embrace Revision. Let's be perfectly honest: Writing an academic paper can be a real slog and it often takes weeks, if not months—and sometimes years. For ...
Publishing a data paper is therefore a means to decrease research waste by sharing and recycling unused data. Published data can be used to write a meta-analysis, for example. Data journals include Scientific Data 12 and Data in Brief. 13 Dryad 14 is an example of data repository. 15.