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Reference: Davies, TG, Rahman, IA, Lautenschlager, S et al., (2017). Open data and digital morphology. Proceedings of the Royal Society B: Biological Sciences, 284 (1852), 20170194.Citable link to this page:


Open data and digital morphology

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 3D digital data publication, and review the issues around data storage, management and accessibility.

Publication status:PublishedPeer Review status:Peer reviewedVersion:Publisher's versionDate of acceptance:2017-03-10 Funder: Biotechnology and Biological Sciences Research Council   Funder: Calleva Foundation   Funder: Human Origins Research Fund   Funder: European Research Council   Funder: Generalitat Valenciana   Funder: Spanish Ministry of Economy, Industry and Competitiveness   Funder: Leverhulme Trust   Funder: Natural Environment Research Council   Funder: Netherlands Organisation for Scientific Research   Funder: National Science Foundation   Funder: Swedish Research Council   Notes:© 2017 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License, which permits unrestricted use, provided the original author and source are credited.

Bibliographic Details

Publisher: Royal Society

Publisher Website:

Journal: Proceedings of the Royal Society B: Biological Sciencessee more from them

Publication Website:

Volume: 284

Issue: 1852

Issue Date: 2017-04


Issn: 0962-8452

Eissn: 1471-2954

Uuid: uuid:201eedb5-a463-41a6-8ca3-6e6c375a5b98

Urn: uri:201eedb5-a463-41a6-8ca3-6e6c375a5b98

Pubs-id: pubs:685248

Doi: Item Description

Type: journal-article;

Version: Publisher's versionKeywords: digital data 3D models phenotype computed tomography visualization functional analysis


Autor: Davies, TG - - - Rahman, IA - Oxford, Academic Services, Natural History Museum funding1851 Royal Commission - - - Lautenschlager



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