The USGS interim policy (IM-OSQI-2015-01), the elements of the USGS science research data lifecycle should include the following elements:
A. Data Management Plan (http://www.usgs.gov/datamanagement/plan.php).
B. Acquire. Methods and techniques for acquiring research data are planned and documented to ensure that scientific findings are verifiable. (http://www.usgs.gov/datamanagement/acquire.php).
C. Process. Data processing denotes those actions or steps performed to verify, organize, transform, repair, integrate, and produce data in an appropriate output form for subsequent use. Methods of processing are documented to ensure the utility, quality, and integrity of the data (SM 502.2).
D. Analyze. Analysis involves actions and methods performed that help describe facts, detect patterns, develop explanations, and test hypotheses (for example, statistical data analysis, computational modeling, and interpretation of results). Methods of analysis are documented to ensure the utility and integrity of the data (SM 502.2).
E. Preserve. Ensuring that data are retained, accessible and consistent with the USGS Records Disposition Schedules and other applicable regulations. (http://www.usgs.gov/datamanagement/preserve.php).
F. Publish/Share. Data release and dissemination. (http://www.usgs.gov/datamanagement/share.php).
G. Describe (Metadata, Documentation). (http://www.usgs.gov/datamanagement/describe.php).
H. Manage Quality. (http://www.usgs.gov/datamanagement/qaqc.php).
I. Backup and Secure. During all data management processes, backup copies of data are created to protect against loss that can result from events such as human error, hardware failure, computer viruses, power failure, or natural disaster. Best practices for backup and securing data at all stages of the data lifecycle are available (http://www.usgs.gov/datamanagement/backup.php).
Information here copied and adapted from the USGS Data Management site.
This site will be updated when further information is available.
Where will you put your data?
Georgia Tech's institutional repository, SMARTech, may be able to house your research data. Contact our Digital Scholarship Librarian to find out what your options are for archiving your data and making it accessible.