The Convention on Biological Diversity (CBD) relies on published data for developing biodiversity indicators. However, the CBC recognizes a temperate zone bias in monitoring data as well as a problematic time lag between data collection and publication. The CBD needs more data from tropical regions and more timely data globally. Camera traps are an excellent monitoring tool, capable of generating vast amounts of data, much of these which remain unanalyzed. The Wildlife Conservation Society (WCS) holds the largest set of camera trap data, but these data have historically been managed at a country level, not at a global level.  With support from the JRS Biodiversity Foundation (JRS), we are creating an open access camera trap database in a standardized format for use in biodiversity conservation. The database will be hosted on the Smithsonian eMammal website and will link to the Tropical Ecology Assessment and Monitoring (TEAM) network database and to Wildlife Insights, a TEAM and Hewlitt Packard camera trap website. To date, we have located ~1.3 million camera trap images and associated metadata from 20 countries in Latin/Central America, Africa and Asia. The metadata consist of information that explains the project and details about data providers, camera trap information (make, year, serial number), camera deployment information (spatio-temporal data and special features of the camera trap setup), and the image information (species identification, number of individuals/image, age/sex of individuals, any recognizable individuals, IUCN identification number, person making identification, time/date). Images are uploaded to the Google Cloud, then transferred to eMammal via an XML (Extensible Markup Language) link. We have developed a query tool that allows users to search and download images and metadata by country and species at multiple levels (country to image). We have also developed governance guidelines including data provider and data user agreements and protocols to provide anonymity for photographed humans as well as obscuring the location of species listed as protected under the Convention on International Trade in Endangered Species (CITES). Once the WCS dataset is integrated into eMammals, TEAM, and Wildlife Insights, the federated database will be the largest camera trap repository in the world.