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      Is Open Access

      The Natural History Museum Data Portal

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          Abstract

          The Natural History Museum, London (NHM), generates and holds some of the largest global data sets relating to the biological and geological diversity of the natural world. A majority of these data were, until 2015, not widely accessible, and, even when published, were typically hard to find, poorly documented and in formats that impede discovery and integration. To better serve the bespoke needs of user communities outside and within the NHM, a dedicated data portal was developed to surface these data sets and provide a sustainable platform to encourage their citation and reuse. This paper describes the technical development of the data portal, from its inception to beta launch in December 2015, its first 2 years of operation, and future plans for the project. It outlines the development principles adopted for this prototypical project, which subsequently informed new digital project management methodologies at the NHM. The process of developing the data portal acted as a driver to implement policies necessary to encourage a culture of data sharing at the NHM.

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          Mega-evolutionary dynamics of the adaptive radiation of birds

          The origin and expansion of biological diversity is regulated by both developmental trajectories1,2 and limits on available ecological niches3–7. As lineages diversify an early, often rapid, phase of species and trait proliferation gives way to evolutionary slowdowns as new species pack into ever more densely occupied regions of ecological niche space6,8. Small clades such as Darwin’s finches demonstrate that natural selection is the driving force of adaptive radiations, but how microevolutionary processes scale up to shape the expansion of phenotypic diversity over much longer evolutionary timescales is unclear9. Here we address this problem on a global scale by analysing a novel crowd-sourced dataset of 3D-scanned bill morphology from >2000 species. We find that bill diversity expanded early in extant avian evolutionary history before transitioning to a phase dominated by morphospace packing. However, this early phenotypic diversification is decoupled from temporal variation in evolutionary rate: rates of bill evolution vary among lineages but are comparatively stable through time. We find that rare but major discontinuities in phenotype emerge from rapid increases in rate along single branches, sometimes leading to depauperate clades with unusual bill morphologies. Despite these jumps between groups, the major axes of within-group bill shape evolution are remarkably consistent across birds. We reveal that macroevolutionary processes underlying global-scale adaptive radiations support Darwinian9 and Simpsonian4 ideas of microevolution within adaptive zones and accelerated evolution between distinct adaptive peaks.
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            VertNet: A New Model for Biodiversity Data Sharing

            Responding to the urgent need to make biodiversity records broadly accessible, the natural history community turned to “the cloud.”
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              Digitization of Biodiversity Collections Reveals Biggest Data on Biodiversity

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                Author and article information

                Journal
                Database (Oxford)
                Database (Oxford)
                databa
                Database: The Journal of Biological Databases and Curation
                Oxford University Press
                1758-0463
                2019
                11 April 2019
                11 April 2019
                : 2019
                : baz038
                Affiliations
                [1]Department of Life Sciences, Natural History Museum, London, UK
                Author notes
                Corresponding author: Email: b.scott@ 123456nhm.ac.uk
                Author information
                http://orcid.org/0000-0002-5887-9543
                http://orcid.org/0000-0001-6496-1423
                http://orcid.org/0000-0002-4012-0571
                Article
                baz038
                10.1093/database/baz038
                6459053
                30985890
                fb65f1c5-6acd-4d33-89a5-652c29c797c8
                © The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 January 2019
                : 1 March 2019
                : 4 March 2019
                Page count
                Pages: 14
                Funding
                Funded by: Natural History Museum Science Group
                Categories
                Original Article

                Bioinformatics & Computational biology
                Bioinformatics & Computational biology

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