IdeaFest
 

Title

New Life for Old Data: Compiling Global Diet Data of Freshwater Fishes

Document Type

Poster

Publication Date

5-2020

Disciplines

Biology

Abstract

As the rise of technology and the internet has increased society's ability to store and gather information, the amount of available data has grown exponentially. However, much of this data exists in different formats relative to each individual source. This lack of a universal format hinders scientists' ability to work with data from multiple sources due to formatting conflict and frequently adds time to meta-analyses. This project is digitizing >120 years of scientific data from the fish predation literature. Through the programs Able2Extract, Microsoft Excel, and R we refine a way to reformat, or tidy, the large body of data on freshwater predator-prey interactions in the scientific literature to allow for a large-scale meta-analysis.

First Advisor

Jeff Wesner

Research Area

Biology

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