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      Research applications of primary biodiversity databases in the digital age

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          Abstract

          Our world is in the midst of unprecedented change—climate shifts and sustained, widespread habitat degradation have led to dramatic declines in biodiversity rivaling historical extinction events. At the same time, new approaches to publishing and integrating previously disconnected data resources promise to help provide the evidence needed for more efficient and effective conservation and management. Stakeholders have invested considerable resources to contribute to online databases of species occurrences. However, estimates suggest that only 10% of biocollections are available in digital form. The biocollections community must therefore continue to promote digitization efforts, which in part requires demonstrating compelling applications of the data. Our overarching goal is therefore to determine trends in use of mobilized species occurrence data since 2010, as online systems have grown and now provide over one billion records. To do this, we characterized 501 papers that use openly accessible biodiversity databases. Our standardized tagging protocol was based on key topics of interest, including: database(s) used, taxa addressed, general uses of data, other data types linked to species occurrence data, and data quality issues addressed. We found that the most common uses of online biodiversity databases have been to estimate species distribution and richness, to outline data compilation and publication, and to assist in developing species checklists or describing new species. Only 69% of papers in our dataset addressed one or more aspects of data quality, which is low considering common errors and biases known to exist in opportunistic datasets. Globally, we find that biodiversity databases are still in the initial stages of data compilation. Novel and integrative applications are restricted to certain taxonomic groups and regions with higher numbers of quality records. Continued data digitization, publication, enhancement, and quality control efforts are necessary to make biodiversity science more efficient and relevant in our fast-changing environment.

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          New developments in museum-based informatics and applications in biodiversity analysis.

          Information from natural history collections (NHCs) about the diversity, taxonomy and historical distributions of species worldwide is becoming increasingly available over the Internet. In light of this relatively new and rapidly increasing resource, we critically review its utility and limitations for addressing a diverse array of applications. When integrated with spatial environmental data, NHC data can be used to study a broad range of topics, from aspects of ecological and evolutionary theory, to applications in conservation, agriculture and human health. There are challenges inherent to using NHC data, such as taxonomic inaccuracies and biases in the spatial coverage of data, which require consideration. Promising research frontiers include the integration of NHC data with information from comparative genomics and phylogenetics, and stronger connections between the environmental analysis of NHC data and experimental and field-based tests of hypotheses.
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            The eBird enterprise: An integrated approach to development and application of citizen science

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              Distorted Views of Biodiversity: Spatial and Temporal Bias in Species Occurrence Data

              Boakes et al. compile and analyze a historical dataset of 170,000 bird sightings over two centuries and show how changing trends in data gathering may confound a true picture of biodiversity change.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Methodology
                Role: ConceptualizationRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: MethodologyRole: Software
                Role: ConceptualizationRole: MethodologyRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                11 September 2019
                2019
                : 14
                : 9
                : e0215794
                Affiliations
                [1 ] Field Museum of Natural History, Chicago, IL, United States of America
                [2 ] Florida Museum of Natural History, University of Florida, Gainesville, FL, United States of America
                [3 ] Department of Environmental Biology, Universidad de Navarra, Pamplona, Spain
                Instituto Federal de Educacao Ciencia e Tecnologia Goiano - Campus Urutai, BRAZIL
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-2601-5043
                http://orcid.org/0000-0002-7893-8774
                Article
                PONE-D-19-09797
                10.1371/journal.pone.0215794
                6738577
                31509534
                afb7e989-ca3f-4feb-81ce-508278339fb1
                © 2019 Ball-Damerow et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 8 April 2019
                : 13 July 2019
                Page count
                Figures: 8, Tables: 7, Pages: 26
                Funding
                This research was supported in part through a Bass Postdoctoral fellowship to J. Ball-Damerow at the Field Museum of Natural History (Chicago, USA), under the mentorship of P. Sierwald and R. Bieler, and by the Negaunee Foundation. The funders had no role in the study design.
                Categories
                Research Article
                Biology and Life Sciences
                Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Biology and Life Sciences
                Ecology
                Biodiversity
                Ecology and Environmental Sciences
                Ecology
                Biodiversity
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Vertebrates
                Biology and Life Sciences
                Organisms
                Eukaryota
                Animals
                Invertebrates
                Ecology and Environmental Sciences
                Conservation Science
                Biology and Life Sciences
                Species Interactions
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Biology and Life Sciences
                Plant Science
                Plant Taxonomy
                Biology and Life Sciences
                Taxonomy
                Plant Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Plant Taxonomy
                Custom metadata
                The data files underlying this article are published in Zenodo, and can be found at: https://zenodo.org/record/2589439#.XKfWOutKjBI (DOI: 10.5281/zenodo.2589439).

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