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Research Ideas and Outcomes 3: e12431
https://doi.org/10.3897/rio.3.e12431 (28 Feb 2017)
https://doi.org/10.3897/rio.3.e12431 (28 Feb 2017)
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Robert Mesibov
Citation:
Mesibov R (2017) Review of: Strategies and guidelines for scholarly publishing of biodiversity data. Research Ideas and Outcomes 3: e12431.
doi: 10.3897/rio.3.e12431.r43021
Review Form
Questions & Answers
Does the manuscript conform to the focus and scope of this journal? | Yes |
Does the manuscript contain unpublishable, for example fraudulent or pseudoscience, content? | No |
Do the title, abstract and keywords accurately reflect the contents and data? | Yes |
Is the manuscript written in grammatically and stylistically correct English? | Yes |
Does the manuscript contain sufficiently detailed information to merit publication? | Yes |
Are the methods relevant to the study and adequately described? | N/A |
Did the authors cite most of the literature pertinent to the subject? | Yes |
Are all relevant non-textual data and media (data sets, audio and video files, data from which graphs are produced) available as either supplementary files to the manuscript or through links to external repositories? | N/A |
In case data are deposited elsewhere, are they available openly, and do the links to these resolve correctly? | N/A |
Are the data consistent, properly recorded internally and described using applicable standards (e.g. in terms of file formats, file names, units and metadata)? | N/A |
Are the conclusions supported by the data? | N/A |
If applicable, are taxonomic and nomenclatural novelties compliant to the respective biological Code? | N/A |
Are the illustrations of sufficient quality? | Yes |
Are conflicts of interest, relevant permissions and other ethical issues addressed in an appropriate manner? | N/A |
Notes
This paper is a comprehensive overview of the current state of scientific (mainly biological) data publishing. It offers valuable recommendations and is a good source of links to relevant papers, projects and discussions. Its particular value will be in providing information to the many working scientists who are interested in going the open-data route, perhaps in opposition to the data-publishing policies of their employers, or of the agency or institution that has contracted their work. The current paper supplies reasons and frameworks for open-data publishing which those scientists can use to argue the case. Until now, I suspect that many such scientists have only had advice from colleagues, as in this imagined conversation: A - "I put all my data into Zenodo." B - "I'd like to do something like that, but I have to publish in the house journal, and the data are under copyright, I think; I'm not sure. And how does putting data into Zenodo get you publication kudos?" My only criticism of the present paper is that it does not argue forcefully enough for data archiving that is genuinely open, i.e. with data retrievable anonymously, without pre-registration and/or insistence on agreement to data-use terms. In addition to the repositories promoted in the article, there are many others which are nominally public but which are behind a registration or agreement wall. The use of such repositories should, in my view, be actively discouraged. If we cannot get data from them without surrendering personal details or agreeing to what amounts to protection of intellectual property, then their data are not open.
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