IN23B-1727
Data Management and Rescue at a State Geological Survey

Tuesday, 15 December 2015
Poster Hall (Moscone South)
Denise J Hills and Marcella R. McIntyre-Redden, Geological Survey of Alabama, Energy Investigations Program, Tuscaloosa, AL, United States
Abstract:
As new technologies are developed to utilize data more fully, and as shrinking budgets mean more needs to be done with less, well-documented and discoverable legacy data is vital for continued research and economic growth. Many governmental agencies are mandated to maintain scientific data, and the Geological Survey of Alabama (GSA) is no different. As part of the mandate to explore for, characterize, and report Alabama’s mineral, energy, water, and biological resources for the betterment of Alabama’s citizens, communities, and businesses, the GSA has increasingly been called upon to make our data (including samples) more accessible to stakeholders.

The GSA has been involved in several data management, preservation, and rescue projects, including the National Geothermal Data System and the National Geological and Geophysical Data Preservation Program. GSA staff utilizes accepted standards for metadata, such as those found at the US Geoscience Information Network (USGIN). Through the use of semi-automated workflows, these standards can be applied to legacy data records.

As demand for more detailed information on samples increases, especially so that a researcher can do a preliminary assessment prior to a site visit, it has become critical for the efficiency of the GSA to have better systems in place for sample tracking and data management. Thus, GSA is in the process of registering cores and related samples for International Geo Sample Numbers (IGSNs) through the System for Earth Sample Registration. IGSNs allow the GSA to use asset management software to better curate the physical samples and provide more accurate information to stakeholders. Working with other initiatives, such as EarthCube’s iSamples project, will ensure that GSA continues to use best practices and standards for sample identification, documentation, citation, curation, and sharing.