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The United States Geological Survey Science Data Lifecycle Model

January 17, 2014

U.S. Geological Survey (USGS) data represent corporate assets with potential value beyond any immediate research use, and therefore need to be accounted for and properly managed throughout their lifecycle. Recognizing these motives, a USGS team developed a Science Data Lifecycle Model (SDLM) as a high-level view of data—from conception through preservation and sharing—to illustrate how data management activities relate to project workflows, and to assist with understanding the expectations of proper data management. In applying the Model to research activities, USGS scientists can ensure that data products will be well-described, preserved, accessible, and fit for re-use. The Model also serves as a structure to help the USGS evaluate and improve policies and practices for managing scientific data, and to identify areas in which new tools and standards are needed.

Citation Information

Publication Year 2014
Title The United States Geological Survey Science Data Lifecycle Model
DOI 10.3133/ofr20131265
Authors John Faundeen, Thomas E. Burley, Jennifer A. Carlino, David L. Govoni, Heather S. Henkel, Sally L. Holl, Vivian B. Hutchison, Elizabeth Martín, Ellyn T. Montgomery, Cassandra Ladino, Steven Tessler, Lisa S. Zolly
Publication Type Report
Publication Subtype USGS Numbered Series
Series Title Open-File Report
Series Number 2013-1265
Index ID ofr20131265
Record Source USGS Publications Warehouse
USGS Organization Earth Resources Observation and Science (EROS) Center; Core Science Analytics, Synthesis, and Libraries

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