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Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible.

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  • 1Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.

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Summary
This summary is machine-generated.

This study presents a framework to improve biodiversity data quality and accessibility using FAIR principles and a Darwin Core model. Standardized data enhance macroecological modeling, biodiversity management, and conservation efforts.

Keywords:
Darwin Core standardFAIR dataGolfão Maranhensesecondary data

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Area of Science:

  • Biodiversity science
  • Data science
  • Ecology

Background:

  • Biodiversity data (species occurrence, abundance) are crucial for scientific hypotheses but often lack FAIR (findable, accessible, interoperable, reusable) principles.
  • Research datasets frequently face challenges with data quality, accuracy, and availability, hindering scientific progress.
  • The 21st century demands aggregation, standardization, and sharing of biodiversity data due to advancements in data science and analytics.

Purpose of the Study:

  • To propose a framework for refining and conforming secondary biodiversity data to FAIR standards.
  • To enhance the availability and usability of biodiversity data for macroecological modeling and other research.
  • To facilitate data curation and validation for occurrence and abundance data of multiple taxa.

Main Methods:

  • Utilized a Darwin Core base model for data standardization.
  • Applied the framework to biodiversity data from estuarine ecosystems in an ecotonal area bordering eastern Amazonia.
  • Focused on refining data related to species occurrence and abundance.

Main Results:

  • Developed a framework to improve biodiversity data quality and adherence to FAIR principles.
  • Standardized and validated occurrence and abundance data for multiple taxa within the study region.
  • Demonstrated a method for enhancing data usability for scientific research.

Conclusions:

  • Standardized public data repositories are significant for advancing scientific progress.
  • Well-curated and accessible biodiversity data are essential for effective biodiversity management and conservation.
  • The proposed framework contributes to making biodiversity data more findable, accessible, interoperable, and reusable.