The need to evaluate large environmental data sets is common at contaminated sediment sites, but project teams often encounter obstacles that prevent evaluating such data quickly and efficiently. One obstacle is the limited ability to rapidly evaluate different data types (e.g., structured and unstructured data), often collected by separate entities. For example, structured data can include analytical chemistry data collected at upland sites and in adjacent soils and waterbodies. The ability to view, analyze, and interpret these data in real time is frequently needed to guide further research and investigation. Other types of structured data can include geographic information systems (GIS) data, such as hydrodynamic modeling outputs, property boundaries, discharge pathways, historical site layouts, sewer networks, outfalls, depositional areas, and sediment management areas. However, in some cases, such as in allocation matters, it is essential to evaluate unstructured data. Unstructured data can include information in PDF files and other text documents. Information can relate to potentially responsible parties, process operations, environmental discharge history, chemical use information, and descriptions of inadvertent onsite pollutant releases. Unstructured data can also include media files such as digital images and video. Enabling the project team to interact with these data sets at the beginning of the process in real time, and not at the end, is important for decision-making and guiding the investigation and allocation process.