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Building Biodiversity Datasets

Author(s): Sara Hansen1, Anna Monfils1, Debra Linton1

Central Michigan University

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Summary:
A module guiding students through the process of building a biodiversity dataset using field data and protocols derived for a study of the invasive aquatic plant species, European frog-bit (Hydrocharis morsus-ranae L.). 

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 07 Feb 2022 doi:10.25334/D6BG-GT45 - cite this Last public release: 3.0

Contents:

Description

Data are fundamental in the study and preservation of biodiversity, as they allow us to inventory biological organisms or systems, track changes over time, and combine efforts from multiple researchers toward a common goal. By recording what we observe, we are making sure others can use the same information to verify or refute our conclusions. Without a solid plan for collecting, organizing, and storing our data, we risk losing the context or losing the data altogether.

Using a case study from research on the impact of European frog-bit in the Great Lakes, students translate field sampling protocols to tidy datasets and learn about data structure.

Upon completion of this module, students will be able to:

  • Explain the role of data in science
  • Apply vocabulary and concepts related to datasets
  • Translate field sampling protocols to data collection methods
  • Build a dataset template using appropriate structure for project
  • Identify tidy data and create tidy data templates

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