The Continuous Analysis of Many Cameras (CAM2) project is a research project at Purdue University for Big Data and visual analytics. CAM2 collects over 60,000 publicly accessible video feeds from many regions around the world. These data come from 10 national and international sources, including New York City, the city of Honk Kong, Colorado, New South Wales, Ontario, and the National Park Service. These video feeds were originally collected for improving the scalability of image processing algorithms and are now becoming of interest to ecologists, city planners, and environmentalists. With CAM2's ability to acquire millions of images or many hours of videos per day, collecting this large quantities of data raises questions about data management. The data sources all have heterogeneous policies for data use. Separate agreements had to be negotiated between each source and the data collector. In this paper, we propose to compare data use policies that are attached to the video streams and study their implications for open access. One restriction is that some sources limit the longevity of the data. As the value of this data becomes realized over the long term, issues of storage capacity and cost of stewardship arise.