This is the accepted version of the following article: Borries, C., Sandel, A. A., Koenig, A., Fernandez-Duque, E., Kamilar, J. M., Amoroso, C. R., Barton, R. A., Bray, J., Di Fiore, A., Gilby, I. C., Gordon, A. D., Mundry, R., Port, M., Powell, L. E., Pusey, A. E., Spriggs, A. and Nunn, C. L. (2016), Transparency, usability, and reproducibility: Guiding principles for improving comparative databases using primates as examples. Evolutionary Anthropology: Issues, News, and Reviews, 25(5): 232-238, which has been published in nal form at https://doi.org/10.1002/evan.21502. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.Additional information:
Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:⢠a full bibliographic reference is made to the original source ⢠a link is made to the metadata record in DRO ⢠the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. From the beginning of evolutionary biology, the comparative method has been a major analytical tool, 1-3 allowing for the examination of patterns and processes of evolutionary change. 4 Some of the main obstacles to overcome in comparative analyses have been statistical in nature:How should we control for confounding variables? What criteria should we use to assess whether patterns are statistically significant and biologically meaningful? How should we control for the non-independence of comparative data that stems from phylogenetic relatedness? Much progress has been made with respect to these issues, especially in the development and use of 3 phylogenetic comparative methods. 3,5,6 For example, building on initial descriptions of phylogenetically independent contrasts, 7 methods can now incorporate phylogenetic uncertainty, 8,9 intraspecific variation, 10-12 and different models of phenotypic evolution. 13,14 Although phylogenetic and statistical methods are rapidly advancing, an increasing number of researchers argue that the data to which these methods are applied are 'stuck in the dark ages'. [15][16][17] It is imperative that, before the specific methods employed in a comparative study are considered, the suitability of the data be thoroughly evaluated. The time has come to bring our comparative databases into the modern age, and to represent uncertainty in the data in the same way we might represent uncertainty in a statistical model or in a phylogeny. 18 It is also important that we be able to evaluate which sources of uncertainty -in the data, the phylogeny, and the statistical methods -have the greatest influence on comparative results.To approach these issues, the authors met on May 28, 2014 at the National Evolutionary Synthesis Center (NESCent, Durham, NC,...