For that reason, it is strongly recommended that new data used in the preparation of published articles be made available via online data bases that have some assurance for significant longevity and maintenance into the future. Authors should contribute their data when they complete their final, post-review manuscripts. For the World Data Center archives, authors will be issued a data contribution number that can be cited in the article. Because usage of scientific names varies between investigators and can be ambiguous when out of context, conformance to a comprehensive nomenclatural standard is highly desirable. Suggestions for nomenclature standards are available for commonly studied groups.
Authors are free to interpret statistical analyses as they see fit.
The author, however, needs to provide the reader with information sufficient for an independent assessment of the analysis. Thus, the assumptions and the model underlying any statistical analysis must be clearly stated, and the presentation of results must be sufficiently detailed. Sampling designs, experimental designs, data-collection protocols, precision of measurements, sampling units, and sample sizes must be succinctly described. The specific statistical procedure must always be stated. Unusual statistical procedures need to be explained in sufficient detail, including references if appropriate, for the reader to reconstruct the analysis.