Davies, Thomas, Rahman, Imran, Lautenschlager, Stephan et al. (4 more authors) (2017) Open data and digital morphology. Proceedings of the Royal Society B: Biological Sciences. 20170194. ISSN 1471-2954
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | Computed tomography,Digital data,Functional analysis,Phenotype,Three-dimensional models,Visualization |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Hull York Medical School (York) The University of York > Faculty of Arts and Humanities (York) > Archaeology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 13 Mar 2017 15:40 |
Last Modified: | 27 Nov 2024 00:28 |
Published Version: | https://doi.org/10.1098/rspb.2017.0194 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1098/rspb.2017.0194 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:113476 |
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Filename: Davies_et_al_2017.pdf
Description: Davies et al 2017