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      MIReAD, a minimum information standard for reporting arthropod abundance data

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          Abstract

          Arthropods play a dominant role in natural and human-modified terrestrial ecosystem dynamics. Spatially-explicit arthropod population time-series data are crucial for statistical or mathematical models of these dynamics and assessment of their veterinary, medical, agricultural, and ecological impacts. Such data have been collected world-wide for over a century, but remain scattered and largely inaccessible. In particular, with the ever-present and growing threat of arthropod pests and vectors of infectious diseases, there are numerous historical and ongoing surveillance efforts, but the data are not reported in consistent formats and typically lack sufficient metadata to make reuse and re-analysis possible. Here, we present the first-ever minimum information standard for arthropod abundance, Minimum Information for Reusable Arthropod Abundance Data (MIReAD). Developed with broad stakeholder collaboration, it balances sufficiency for reuse with the practicality of preparing the data for submission. It is designed to optimize data (re)usability from the “FAIR,” (Findable, Accessible, Interoperable, and Reusable) principles of public data archiving (PDA). This standard will facilitate data unification across research initiatives and communities dedicated to surveillance for detection and control of vector-borne diseases and pests.

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          Most cited references36

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          The Economic Value of Ecological Services Provided by Insects

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            Recommendations for utilizing and reporting population genetic analyses: the reproducibility of genetic clustering using the program STRUCTURE.

            Reproducibility is the benchmark for results and conclusions drawn from scientific studies, but systematic studies on the reproducibility of scientific results are surprisingly rare. Moreover, many modern statistical methods make use of 'random walk' model fitting procedures, and these are inherently stochastic in their output. Does the combination of these statistical procedures and current standards of data archiving and method reporting permit the reproduction of the authors' results? To test this, we reanalysed data sets gathered from papers using the software package STRUCTURE to identify genetically similar clusters of individuals. We find that reproducing structure results can be difficult despite the straightforward requirements of the program. Our results indicate that 30% of analyses were unable to reproduce the same number of population clusters. To improve this, we make recommendations for future use of the software and for reporting STRUCTURE analyses and results in published works. © 2012 Blackwell Publishing Ltd.
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              Arthropod Regulation of Micro- and Mesobiota in Below-Ground Detrital Food Webs

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                Author and article information

                Contributors
                srund@nd.edu
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                25 April 2019
                25 April 2019
                2019
                : 6
                : 40
                Affiliations
                [1 ]ISNI 0000 0001 2168 0066, GRID grid.131063.6, VectorBase, Department of Biological Sciences, , University of Notre Dame, ; Notre Dame, IN USA
                [2 ]ISNI 0000 0000 9702 069X, GRID grid.440787.8, Universidad Icesi, Facultad de Ciencias Naturales, ; Calle 18 No. 122-135, Cali, Colombia
                [3 ]GRID grid.434488.7, Global Biodiversity Information Facility (GBIF) Secretariat, ; Copenhagen, Denmark
                [4 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, Department of Life Sciences, , Imperial College London, Silwood Park Campus, ; Buckhurst Road, Ascot, Berkshire, United Kingdom
                [5 ]ISNI 0000 0001 2315 1184, GRID grid.411461.7, Department of Electrical Engineering and Computer Science, , University of Tennessee, ; Knoxville, TN USA
                [6 ]GRID grid.470962.e, Division of Vector-Borne Diseases, , Centers for Disease Control and Prevention, ; 1324 Calle Cañada, San Juan, PR USA
                [7 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Epidemiology, , Harvard School of Public Health, ; 677 Huntington Ave, Boston, MA USA
                [8 ]ISNI 0000 0000 9159 4457, GRID grid.411023.5, Center for Global Health and Translational Science, , State University of New York Upstate Medical University, ; Syracuse, NY USA
                [9 ]ISNI 0000 0001 2113 8111, GRID grid.7445.2, VectorBase and Vector Immunogenomics and Infection Laboratory, Department of Life Sciences, , Imperial College London, ; London, United Kingdom
                [10 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Florida Medical Entomology Lab, , University of Florida-IFAS, ; Vero Beach, FL USA
                [11 ]ISNI 0000 0001 2297 7718, GRID grid.10711.36, Institute of Biology, , University of Neuchâtel, ; 2000 Neuchâtel, Switzerland
                [12 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Quantitative Disease Ecology and Conservation Lab, Department of Geography, , University of Florida, ; Gainesville, FL USA
                [13 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Emerging Pathogens Institute, , University of Florida, ; Gainesville, FL USA
                [14 ]ISNI 0000 0001 0723 4123, GRID grid.16463.36, College of Life Sciences, , University of Kwa-Zulu Natal, ; Durban, South Africa
                [15 ]ISNI 0000 0001 2097 4281, GRID grid.29857.31, Center for Infectious Disease Dynamics, Department of Biology, , The Pennsylvania State University, ; University Park, PA USA
                [16 ]ISNI 0000 0001 0941 8356, GRID grid.295546.9, Department of Zoology, , Milwaukee Public Museum, ; Milwaukee, WI USA
                Author information
                http://orcid.org/0000-0002-1701-7787
                http://orcid.org/0000-0002-6590-599X
                http://orcid.org/0000-0001-6492-4016
                http://orcid.org/0000-0001-7765-983X
                http://orcid.org/0000-0001-5070-4493
                http://orcid.org/0000-0002-4308-6321
                http://orcid.org/0000-0002-2919-1168
                http://orcid.org/0000-0003-0364-9406
                http://orcid.org/0000-0001-8375-5684
                Article
                42
                10.1038/s41597-019-0042-5
                6484025
                31024009
                b93e4496-6832-454e-96a4-39e973457d39
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 October 2018
                : 20 March 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000268, RCUK | Biotechnology and Biological Sciences Research Council (BBSRC);
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award ID: BB/N013573/1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI136035-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award ID: 1R01AI122284-01
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000288, Royal Society;
                Award ID: NF140517
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000060, U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID);
                Award ID: HHSN272201400029C
                Award ID: HHSN272201400029C
                Award ID: HHSN272201400029C
                Award ID: HHSN272201400029C
                Award ID: HHSN272201400029C
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000155, NSF | BIO | Division of Environmental Biology (DEB);
                Award ID: 1518681
                Award ID: 1518681
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000030, U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC);
                Award ID: 1U01CK000510-01
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: 1619072
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000153, NSF | BIO | Division of Biological Infrastructure (DBI);
                Award ID: 1561448
                Award ID: 1601957
                Award Recipient :
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                © The Author(s) 2019

                population dynamics,ecological epidemiology,research data

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