4.7 Article

Open data and digital morphology

Journal

Publisher

ROYAL SOC
DOI: 10.1098/rspb.2017.0194

Keywords

digital data; three-dimensional models; phenotype; computed tomography; visualization; functional analysis

Funding

  1. BBSRC
  2. Calleva Foundation
  3. Human Origins Research Fund
  4. European Research Council
  5. Generalitat Valenciana
  6. MINECO
  7. Leverhulme Trust
  8. NERC
  9. NWO
  10. National Science Foundation
  11. 1851 Royal Commission
  12. Royal Society Wolfson Merit Award
  13. Swedish Research Council
  14. NERC [NE/K004751/1, NE/K01496X/1, NE/J018325/1, NE/P013678/1, NE/G005877/1, NE/H012176/1, NE/N003438/1, NE/P013090/1, NE/F01693X/1] Funding Source: UKRI
  15. Natural Environment Research Council [NE/N003438/1, NE/K004751/1, NE/H012176/1, NE/P013090/1, NE/P013678/1, NE/F01693X/1, NE/J018325/1, NE/K01496X/1, NE/G005877/1] Funding Source: researchfish
  16. Direct For Biological Sciences
  17. Division Of Integrative Organismal Systems [1456503] Funding Source: National Science Foundation
  18. Division Of Earth Sciences
  19. Directorate For Geosciences [1561622] Funding Source: National Science Foundation

Ask authors/readers for more resources

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.

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