Davies Thomas G, Rahman Imran A, Lautenschlager Stephan, Cunningham John A, Asher Robert J, Barrett Paul M, Bates Karl T, Bengtson Stefan, Benson Roger B J, Boyer Doug M, Braga José, Bright Jen A, Claessens Leon P A M, Cox Philip G, Dong Xi-Ping, Evans Alistair R, Falkingham Peter L, Friedman Matt, Garwood Russell J, Goswami Anjali, Hutchinson John R, Jeffery Nathan S, Johanson Zerina, Lebrun Renaud, Martínez-Pérez Carlos, Marugán-Lobón Jesús, O'Higgins Paul M, Metscher Brian, Orliac Maëva, Rowe Timothy B, Rücklin Martin, Sánchez-Villagra Marcelo R, Shubin Neil H, Smith Selena Y, Starck J Matthias, Stringer Chris, Summers Adam P, Sutton Mark D, Walsh Stig A, Weisbecker Vera, Witmer Lawrence M, Wroe Stephen, Yin Zongjun, Rayfield Emily J, Donoghue Philip C J
School of Earth Sciences, University of Bristol, Life Sciences Building, Tyndall Avenue, Bristol BS8 1TQ, UK.
Oxford University Museum of Natural History, Parks Road, Oxford OX1 3PW, UK.
Proc Biol Sci. 2017 Apr 12;284(1852). doi: 10.1098/rspb.2017.0194.
Over the past two decades, the development of methods for visualizing and analysing specimens digitally, in three and even four dimensions, has transformed the study of living and fossil organisms. However, the initial promise that the widespread application of such methods would facilitate access to the underlying digital data has not been fully achieved. The underlying datasets for many published studies are not readily or freely available, introducing a barrier to verification and reproducibility, and the reuse of data. There is no current agreement or policy on the amount and type of data that should be made available alongside studies that use, and in some cases are wholly reliant on, digital morphology. Here, we propose a set of recommendations for minimum standards and additional best practice for three-dimensional digital data publication, and review the issues around data storage, management and accessibility.
在过去二十年中,用于对标本进行三维甚至四维数字化可视化和分析的方法发展,已经改变了对现存生物和化石生物的研究。然而,这些方法广泛应用将便于获取基础数字数据的最初承诺尚未完全实现。许多已发表研究的基础数据集不易获取或无法免费获取,这给验证、再现性以及数据的再利用带来了障碍。目前对于在使用(某些情况下完全依赖)数字形态学的研究中应提供的数据量和数据类型,尚无一致意见或相关政策。在此,我们针对三维数字数据发布的最低标准和额外最佳实践提出了一套建议,并对数据存储、管理和可访问性方面的问题进行了综述。