On May 9, 2013, the White House released the Executive Order, "Making Open and Machine Readable the New Default for Government." This Order, built upon an earlier interagency memorandum released by the Office of Science and Technology Policy (OSTP), was accompanied by an Office of Management and Budget (OMB) Policy and a site hosted on GitHub called Project Open Data, to guide implementation. To meet the requirements outlined in these initiatives, USGS will undertake a variety of tasks, including development of this Catalog, in concert with the Department of the Interior (DOI).
The Catalog includes records describing individual datasets, data collections, and observational or remotely-sensed data contained in national systems (rather than records about individual observations).
Currently, data described by the Federal Geographic Data Committee's Content Standard for Digital Geospatial Metadata (CSDGM) are included in the Catalog. In the future, the Catalog also will include data described by the International Organization for Standardization (ISO) suite (e.g., 19115-1, 19115-2, 19119, 19111, etc.).
A full and robust metadata is always strongly encouraged. Without fully descriptive metadata, it is unlikely that potential users can fully understand and responsibly re-use data. At a minimum a record must include the following:
Records should be created in the FGDC Content Standard for Digital Geospatial Metadata and submitted as XML through the Data Provider Dashboard. Metadata should be developed using best practices outlined on the USGS Data Management Website.
As USGS continues to build and release the USGS Science Data Catalog, feedback is being solicited from USGS scientists, program managers, data managers, and employees. Please use http://feedback.sciencebase.gov/forums/253759-usgs-science-data-catalog to provide your input and help shape future directions, content, and capabilities.
Additionally, general feedback on USGS Core Science Analytics Synthesis & Libraries supported systems can always be provided through ASK CSAS&L.