Publication Date

2016

Committee Chair

Douglas M. Flewelling, Ph.D.

Committee Members

Mark P. Kumler, Ph.D.

Abstract

An Android mobile application, the Whale mAPP, utilizes crowd sourcing data collection to gather data about marine mammals. The use of volunteered geographic information invites data inconsistencies including clusters of similar data submissions, incorrect species identification, and on-land observations caused by signal drop or user error. Prior to this project, these issues went unnoticed in the resulting dataset, leading to significant reliability problems. This project uses Python code to automate the flagging of these problematic points. The project also simplifies the process of accepting new contributors. These Python scripts ensure data quality issues are evident in resulting crowd-sourced datasets prior to use by marine biologists and other interested parties.

GuttmacherRachel_Poster.pub (1744 kB)
Automating Quality Control in a Crowd-Sourced Marine Mammal (Poster)

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