TY - JOUR
T1 - MIReAD, a minimum information standard for reporting arthropod abundance data
AU - Rund, Samuel S.C.
AU - Braak, Kyle
AU - Cator, Lauren
AU - Copas, Kyle
AU - Emrich, Scott J.
AU - Giraldo-Calderón, Gloria I.
AU - Johansson, Michael A.
AU - Heydari, Naveed
AU - Hobern, Donald
AU - Kelly, Sarah A.
AU - Lawson, Daniel
AU - Lord, Cynthia
AU - MacCallum, Robert M.
AU - Roche, Dominique G.
AU - Ryan, Sadie J.
AU - Schigel, Dmitry
AU - Vandegrift, Kurt
AU - Watts, Matthew
AU - Zaspel, Jennifer M.
AU - Pawar, Samraat
N1 - Funding Information:
The seeds of this effort were planted in 2016 at a meeting of VectorBiTE, which is a cross-disciplinary research coordination network (RCN) for disease vectors. Samuel S.C. Rund, Matthew Watts, Kurt Vandegrift, Naveed Heydari, Cynthia Lord, Michael Johansson, Samraat Pawar, and Sadie J. Ryan, received travel funding from NIH grant 1R01AI122284-01 and BBSRC grant BB/N013573/1 as part of the joint [NIH-NSF-USDA-BBSRC] Ecology and Evolution of Infectious Diseases program. Samuel S.C. Rund was funded by the Royal Society (NF140517). Rund, Daniel Lawson, Robert M. MacCallum, Sarah A. Kelly, Gloria I. Giraldo-Calderón and Scott J. Emrich were supported by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services, under Contract No. HHSN272201400029C (VectorBase Bioinformatics Resource Center). Kurt Vandegrift was funded by the National Science Foundation Ecology and Evolution of Infectious Diseases program (1619072). Naveed Heydari and Sadie J. Ryan were funded by National Science Foundation (NSF DEB EEID 1518681). Sadie J. Ryan was additionally funded by NIH 1R01AI136035-01, and CDC grant 1U01CK000510-01: Southeastern Regional Center of Excellence in Vector-Borne Diseases: the Gateway Program. This publication was supported by the Cooperative Agreement Number above from the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention. Jennifer M. Zaspel was funded by the National Science Foundation Division of Biological Infrastructure (NSF 1561448, NSF 1601957).
Publisher Copyright:
© 2019, The Author(s).
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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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U2 - 10.1038/s41597-019-0042-5
DO - 10.1038/s41597-019-0042-5
M3 - Article
C2 - 31024009
AN - SCOPUS:85065401314
SN - 2052-4463
VL - 6
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 40
ER -