Open data and digital morphology

Thomas Davies; Imran Rahman; Stephan Lautenschlager; Philip Graham Cox; Paul O'Higgins; Emily Rayfield; Philip Donoghue

doi:10.1098/rspb.2017.0194

Open data and digital morphology

Thomas Davies, Imran Rahman, Stephan Lautenschlager, Philip Graham Cox, Paul O'Higgins, Emily Rayfield, Philip Donoghue

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Article number	20170194
Journal	Proceedings of the Royal Society B: Biological Sciences
Volume	284
Issue number	1852
DOIs	https://doi.org/10.1098/rspb.2017.0194
Publication status	Published - 12 Apr 2017

Keywords

Computed tomography
Digital data
Functional analysis
Phenotype
Three-dimensional models
Visualization

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10.1098/rspb.2017.0194

Final_Open_DataAccepted author manuscript, 4.57 MB
Davies et al 2017Final published version, 364 KB

Cite this

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Open data and digital morphology

Abstract

Keywords

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