ArticleScientific data2019
MIReAD, a minimum information standard for reporting arthropod abundance data.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- MIReVTD, a minimum information standard for reporting vector trait data.GigaScience · 2026Article
- Towards a minimum reporting standard to promote animal welfare and data quality in biologging research.Animal biotelemetry · 2026Article
- A community-of-practice-built database to support the implementation and operation of national and subnational wildlife health surveillance systems.One health (Amsterdam, Netherlands) · 2025Article
- A minimum data standard for wildlife disease research and surveillance.Scientific data · 2025Article
- Sharing insect data through GBIF: novel monitoring methods, opportunities and standards.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Mosquito аbundance and species surveillance in St. Joseph County, Indiana, 1976-1997.Biodiversity data journal · 2024Article
- Survey of Invasive Mosquito Surveillance and Control Capacity in Southeastern USA Reveals Training and Resource Needs.Journal of the American Mosquito Control Association · 2023Article
- Characterizing the Vector Data Ecosystem.Journal of medical entomology · 2023Article
- Co-occurrence probabilities between mosquito vectors of West Nile and Eastern equine encephalitis viruses using Markov Random Fields (MRFcov).Parasites & vectors · 2023Article
- AgroEcoList 1.0: A checklist to improve reporting standards in ecological research in agriculture.PloS one · 2023Article
- A minimum data standard for vector competence experiments.Scientific data · 2022Article
- Meta-Analysis of the Relative Abundance of Nuisance and Vector Mosquitoes in Urban and Blue-Green Spaces.Insects · 2022Review
- Mosquito Communities Vary across Landscape and Vertical Strata in Indian River County, Florida.Pathogens (Basel, Switzerland) · 2021Article
- Infrared light sensors permit rapid recording of wingbeat frequency and bioacoustic species identification of mosquitoes.Scientific reports · 2021Article
- Considerations for mosquito microbiome research from the Mosquito Microbiome Consortium.Microbiome · 2021Review
- Article
- Predicting West Nile virus transmission in North American bird communities using phylogenetic mixed effects models and eBird citizen science data.Parasites & vectors · 2019Article
Corrections and comments
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Authors and funding
20 authors.
Funding
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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Registered trials
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