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BEST PRACTICES FOR DATA MANAGEMENT TECHNICAL GUIDE
EPA 542-F-18-003, 14 pp, 2018
The Superfund program collects, reviews, and works with large volumes of sampling, monitoring, and environmental data that are used for decisions at different scales. This technical guide identifies best practices for efficiently managing the large amount of data generated throughout the data life cycle. Thorough, up-front remedial investigation and feasibility study (RI/FS) planning and scoping combined with decision support tools and visualization can help reduce RI/FS cost and provide a more complete conceptual site model earlier in the process. In addition, data management plays an important role in adaptive management application during the RI/FS and remedial design and action. Applying best practices to data management activities increases data usefulness and allows the use of new data interpretation tools and programs. https://semspub.epa.gov/src/document/11/100001798
The Superfund program collects, reviews, and works with large volumes of sampling, monitoring, and environmental data that are used for decisions at different scales. This technical guide identifies best practices for efficiently managing the large amount of data generated throughout the data life cycle. Thorough, up-front remedial investigation and feasibility study (RI/FS) planning and scoping combined with decision support tools and visualization can help reduce RI/FS cost and provide a more complete conceptual site model earlier in the process. In addition, data management plays an important role in adaptive management application during the RI/FS and remedial design and action. Applying best practices to data management activities increases data usefulness and allows the use of new data interpretation tools and programs. https://semspub.epa.gov/src/document/11/100001798
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