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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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MIReAD, a minimum information standard for reporting arthropod abundance data.

Samuel S C Rund1, Kyle Braak2, Lauren Cator3

  • 1VectorBase, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA. srund@nd.edu.

Scientific Data
|April 27, 2019
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Summary

A new standard, Minimum Information for Reusable Arthropod Abundance Data (MIReAD), addresses the inaccessibility of crucial arthropod data. This standard promotes data sharing for ecological and disease vector research.

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Area of Science:

  • Ecology and Environmental Science
  • Zoology
  • Data Science

Background:

  • Arthropods significantly influence terrestrial ecosystems, impacting veterinary, medical, agricultural, and ecological dynamics.
  • Arthropod population time-series data are vital for modeling ecosystem dynamics and assessing impacts, but are scattered and inaccessible.
  • Existing surveillance data lack consistent formats and sufficient metadata, hindering reuse and re-analysis, especially for pest and disease vector control.

Purpose of the Study:

  • To introduce the first minimum information standard for arthropod abundance data, named Minimum Information for Reusable Arthropod Abundance Data (MIReAD).
  • To enhance the findability, accessibility, interoperability, and reusability (FAIR) of arthropod abundance data for public data archiving.
  • To facilitate the unification of data across diverse research initiatives and communities focused on pest and vector-borne disease surveillance.

Main Methods:

  • Developed through broad stakeholder collaboration, balancing data sufficiency for reuse with practical preparation requirements.
  • Designed to align with the FAIR data principles (Findable, Accessible, Interoperable, Reusable).
  • Establishes a standardized framework for reporting arthropod abundance data.

Main Results:

  • The MIReAD standard provides a consistent format and essential metadata for arthropod abundance data.
  • Implementation of MIReAD is expected to improve data accessibility and reusability.
  • Facilitates data integration for large-scale ecological and epidemiological studies.

Conclusions:

  • MIReAD is a crucial step towards unifying disparate arthropod data resources.
  • The standard will significantly aid research in understanding arthropod dynamics and managing pests and diseases.
  • Promotes robust data sharing practices essential for ecological and public health surveillance.