Master's Group Project
Year
2019

Improving Citizen Science Data Management for Resource Protection

Outside Group Members
Rae Fuhrman , Sean Goral , Charlene Kormondy , Jasmine Vazin , Molly Williams
Faculty Advisors
James Frew
Clients
Channel Islands National Marine Sanctuary
Deliverables

Final Report
Brief
Poster

A student group poses with faculty and PhD advisors with an ocean backdrop
Description

The National Oceanic and Atmospheric Administration’s (NOAA) Channel Islands National Marine Sanctuary (CINMS) has 20 years of marine mammal sighting data collected almost daily by citizen scientist volunteers in their Naturalist Corps program. The trained Naturalists record observations on smart phone apps aboard whale watching boats in the Santa Barbara Channel. This data has influenced local resource protection policy, but has greater potential to be used by researchers, conservation managers, and decision makers. This project team outlines CINMS’ current citizen science data management system and identify improvements that will maximize the usability of this rich dataset. We created an open-source Python application to collate sightings data into a serverless SQL database that is structured to comply with international data quality standards and open repository requirements. We analyzed the quality differences between sightings collected by Naturalists and the general public, and found that trained users had a significantly lower percentage of potentially inaccurate sightings. We recommend that our client incorporate tools to filter these inaccuracies in the app interface, and follow data management best practices to maximize the impact of their citizen science program.