  Galaxy Zoo: Clump Scout is a web-based citizen science project designed to
identify and spatially locate giant star forming clumps in galaxies that were
imaged by the Sloan Digital Sky Survey Legacy Survey. We present a
statistically driven software framework that is designed to aggregate
two-dimensional annotations of clump locations provided by multiple independent
Galaxy Zoo: Clump Scout volunteers and generate a consensus label that
identifies the locations of probable clumps within each galaxy. The statistical
model our framework is based on allows us to assign false-positive
probabilities to each of the clumps we identify, to estimate the skill levels
of each of the volunteers who contribute to Galaxy Zoo: Clump Scout and also to
quantitatively assess the reliability of the consensus labels that are derived
for each subject. We apply our framework to a dataset containing 3,561,454
two-dimensional points, which constitute 1,739,259 annotations of 85,286
distinct subjects provided by 20,999 volunteers. Using this dataset, we
identify 128,100 potential clumps distributed among 44,126 galaxies. This
dataset can be used to study the prevalence and demographics of giant star
forming clumps in low-redshift galaxies. The code for our aggregation software
framework is publicly available at:
https://github.com/ou-astrophysics/BoxAggregator
