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Characterizing the Vector Data Ecosystem.

Catherine A Lippi1,2, Samuel S C Rund3, Sadie J Ryan1,2

  • 1Quantitative Disease Ecology and Conservation (QDEC) Lab Group, Department of Geography, University of Florida, Gainesville, FL 32611, USA.

Journal of Medical Entomology
|February 8, 2023
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Summary
This summary is machine-generated.

Understanding the vector data ecosystem is crucial for disease surveillance and control. This study maps current data efforts to improve accessibility and interoperability for vector-borne disease research.

Keywords:
databaseecoinformaticsinteroperabilitymosquitovector-borne disease

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Area of Science:

  • Vector-borne disease research
  • Data science and informatics
  • Ecological and environmental science

Background:

  • Increasing research on vector-borne diseases necessitates better data management for risk prediction, surveillance, and control.
  • Vector data is diverse, spanning collections, molecular, geospatial, and experimental information, often siloed across disciplines.
  • The "Vector Data Ecosystem" faces challenges with scope clarity, data obsolescence, and interoperability gaps.

Purpose of the Study:

  • To characterize the current landscape of vector data efforts.
  • To assess the accessibility and interoperability of existing vector data resources.
  • To provide a foundational understanding for improving FAIR (Findable, Accessible, Interoperable, Reusable) data practices in vector science.

Main Methods:

  • A comprehensive review of current vector data aggregation and collection initiatives.
  • Analysis of data formats, types, and storage approaches within the Vector Data Ecosystem.
  • Illustrative tracking of a specimen through the data ecosystem to identify access and interoperability points.

Main Results:

  • A snapshot of the current state of vector data efforts is presented.
  • Levels of data accessibility are reported.
  • Interoperability challenges and opportunities within the ecosystem are commented upon.

Conclusions:

  • Characterizing the Vector Data Ecosystem is essential for improving data flow and access.
  • Enhanced understanding of data accessibility and interoperability is key to advancing vector-borne disease research.
  • This study serves as a baseline for future efforts to create a more integrated and FAIR vector data landscape.