Science Data Lifecycle Model Completed

The CDI Data Management Best Practices Focus Group—led by John Faundeen—determined that the best path to success in preserving and making our science accessible lies in identifying and consistently applying data management standards, tools, and methods at each stage of what the group terms the “USGS scientific data life cycle.” To assist in achieving this goal, the group developed a Scientific Life Cycle Model that accurately captures how USGS scientists conduct their projects, reflecting the stages that science data go through from initial selection through collection, preparation, use, dissemination, and final disposition. The Group designed a visual representation of the Model to articulate its key components, relationships and workflow. The diagram was supplemented with definitions of each component and matrices of primary and secondary elements such as roles, responsibilities, and applicable standards as they pertain to the key components.
 
The Model and supplementary information was designed to serve as the conceptual foundation upon which USGS data management best practices can be organized, aligned, explained, understood, and promoted.
 
CDI participated in the National Science Foundation workshop, "Research Data Lifecycle Management," hosted by Princeton University, July 2011. Participating in this workshop allowed the Best Practices Team to validate work on the USGS Data Lifecycle Model and gain new insights that led to Model refinements.

Principal Investigator : John L Faundeen

Note: this information is from the FY11 CDI Annual Review