2015 GSA Annual Meeting in Baltimore, Maryland, USA (1-4 November 2015)

Paper No. 244-3
Presentation Time: 2:00 PM


FAUNDEEN, John1, BURLEY, Tom2, GOVONI, David3, HENKEL, Heather S.4, MARTIN, Elizabeth5, MONTGOMERY, Ellyn6, ZOLLY, Lisa7, HUTCHISON, Viv7, TESSLER, Steve8 and LADINO, Cassandra9, (1)Department of the Interior, USGS-EROS, 47914 252nd Street, Sioux Falls, SD 57198, (2)U.S. Geological Survey, Austin, TX 78754, (3)Department of Interior, US Geological Survey, 12201 Sunrise Valley Drive, Reston, VA 20192, (4)U.S. Geological Survey - FISC-St. Petersburg, 600 Fourth St. South, St. Petersburg, FL 33701, (5)U.S. Geological Survey, Gainesville, FL 32653, (6)U.S. Geological Survey, Woods Hole, MA 02543, (7)U.S. Geological Survey, Lakewood, CO 80225, (8)U.S. Geological Survey, Lawrenceville, NJ 08648, (9)U.S. Geological Survey, Reston, VA 20192, faundeen@usgs.gov

This presentation will detail how the United States Geological Survey (USGS) Community for Data Integration (CDI) Data Management Working Group developed a Science Data Lifecycle Model, and the role the model plays in shaping bureau-wide policies. Starting with an extensive literature review of existing data lifecycle models, the effort expanded to include participation in a National Science Foundation data lifecycle workshop and organizing a two-day, face-to-face meeting where the basic elements for the Science Data Lifecycle Model were determined. Refinements and reviews spanned two years, leading to finalization of the model and documentation in a formal bureau publication. The bureau website devoted to data management (www.usgs.gov/datamanagement) was designed around the model’s structure and concepts. The model helps the USGS address both the Office of Science and Technology Policy (OSTP) for increased public access to federally funded research, and the Office of Management and Budget (OMB) 2013 Open Data directives, by becoming the foundation for a series of bureau policies and instructional memo’s related to data management planning, metadata development, data release procedures, and the long-term preservation of data. We also share use cases that illustrate the USGS model being used in research and data management processes.
  • GSA 2015 Faundeen Abstract 259586.pdf (3.9 MB)