Open Peer Review Process
Each manuscript will be sent to at least
two peer reviewers for evaluation. The authors
can suggest possible reviewers (with their
contacts) or request that others be excluded. The
journal adopts an open review procedure,
therefore both the authors and the reviewers are to
be made known to each other, as these potentially
have a positive impact upon the quality of the
reviews, the recommendation regarding
publication, the tone of the review and the time
spent on reviewing (Walsh et al., 2000). Upon
acceptance of a manuscript, the Editor in Chief
will send the comments and recommendations of
the referees to the authors, for reformulation as
needed.
Open Access Policy
The journal provides immediate open
access to its content on the principle that making
research freely available to the public supports a
greater global exchange of knowledge. All articles
are published online with Open Access and
distributed under the terms of the Creative
Commons Attribution-Non-Comercial (CC BY-
NC) License.
Data Archiving
Because data are one of the most
important products of the scientific enterprise,
they should be preserved and usable for decades
in the future. The editors of Tropical Diversity
embrace an open access data policy and thus
requires, as a condition for publication, that all
data supporting the results in papers published in
this journal should be archived in appropriate
public archives, such as GenBank, Treebase,
Dryad, figshare, or any another archive of the
author's choice that provides comparable access
and guarantee of preservation. Authors may elect
to have the data made publicly available at time of
publication or, if the technology of the archive so
allows, they may opt to embargo access to the
data for a period of up to a year after publication.
Reproducible Research
The editors of Tropical Diversity are
committed to the concept of reproducible research
- the ability to recompute results of scientific
experiments and data analyses which is at the very
foundation of modern science (Gentleman, 2005;
Peng, 2011; Goodman et al., 2016). This involves
not only the scientific paper itself, but also the
data and computational environment used to
generate the reported results, so that they can be
reproduced and used as the basis to create new
work. In order to encourage the practice of
making research published in this journal
reproducible by others, authors are strongly
encouraged to: (i) to adopt, for all data analysis
and graphics, software tools which are themselves
conducive to reproducible research, as the R
(Ihaka & Gentleman, 1996) or Python (Oliphant,
2007) languages that have now become the lingua
franca for scientific computing; and (ii) to publish
all the source code used in their analysis in public
repositories as GitHub, Dryad, or figshare; these
can organized around R Markdown source