ReviewProceedings. Biological sciences2017
Open data and digital morphology.
Review in Proceedings. Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Ultra close-range digital photogrammetry in skeletal anthropology: A systematic review.PloS one · 2020Pooled it
- Deep learning reveals ecological decoupling and rate heterogeneity in Hymenoptera wing evolution.Science advances · 2026Article
- Open access and digital morphology data in evolutionary biology: expanding frontiers of knowledge.BMC ecology and evolution · 2026Review
- High-throughput phenomics of global ant biodiversity.Nature methods · 2026Article
- Evaluating fluctuating and directional asymmetry in postnatal petrous bone growth: a 3D morphometric study.Surgical and radiologic anatomy : SRA · 2026Article
- Article
- How many characters are needed to reconstruct a phylogeny?Biology letters · 2025Article
- Ozboneviz: an Australian precedent in FAIR 3D imagery and extended biodiversity collections.Bioscience · 2025Article
- Natural History Collections at the Crossroads: Shifting Priorities and Data-Driven Opportunities.Ecology letters · 2025Article
- Integrating Deep Learning Derived Morphological Traits and Molecular Data for Total-Evidence Phylogenetics: Lessons from Digitized Collections.Systematic biology · 2025Article
- Assessing the application of landmark-free morphometrics to macroevolutionary analyses.BMC ecology and evolution · 2025Article
- Avian telencephalon and cerebellum volumes can be accurately estimated from digital brain endocasts.Biology letters · 2025Article
- Article
- Primate Phenotypes: A Multi-Institution Collection of 3D Morphological Data Housed in MorphoSource.Scientific data · 2024Article
- Dinosaur palaeoneurology: an evolving science.Biology letters · 2024Review
- BounTI (boundary-preserving threshold iteration): A user-friendly tool for automatic hard tissue segmentation.Journal of anatomy · 2024Article
- Increasing the impact of vertebrate scientific collections through 3D imaging: The openVertebrate (oVert) Thematic Collections Network.Bioscience · 2024Review
- 3D Morphological Scanning and Environmental Correlates ofAnimals : an open access journal from MDPI · 2024Article
- An in situ digital synthesis strategy for the discovery and description of ocean life.Science advances · 2024Article
- Opportunities and Challenges in Applying AI to Evolutionary Morphology.Integrative organismal biology (Oxford, England) · 2024Review
Corrections and comments
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Authors and funding
45 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.