  Social multimedia users are increasingly sharing all kinds of data about the
world. They do this for their own reasons, not to provide data for field
studies-but the trend presents a great opportunity for scientists. The Yahoo
Flickr Creative Commons 100 Million (YFCC100M) dataset comprises 99 million
images and nearly 800 thousand videos from Flickr, all shared under Creative
Commons licenses. To enable scientists to leverage these media records for
field studies, we propose a new framework that extracts targeted subcorpora
from the YFCC100M, in a format usable by researchers who are not experts in big
data retrieval and processing.
  This paper discusses a number of examples from the literature-as well as some
entirely new ideas-of natural and social science field studies that could be
piloted, supplemented, replicated, or conducted using YFCC100M data. These
examples illustrate the need for a general new open-source framework for
Multimedia Big Data Field Studies. There is currently a gap between the
separate aspects of what multimedia researchers have shown to be possible with
consumer-produced big data and the follow-through of creating a comprehensive
field study framework that supports scientists across other disciplines.
  To bridge this gap, we must meet several challenges. For example, the
framework must handle unlabeled and noisily labeled data to produce a filtered
dataset for a scientist-who naturally wants it to be both as large and as clean
as possible. This requires an iterative approach that provides access to
statistical summaries and refines the search by constructing new classifiers.
The first phase of our framework is available as Multimedia Commons Search, an
intuitive interface that enables complex search queries at a large scale...
