USGS Science Support Framework

  • Structuring and Documenting a USGS Public Data Release

    This tutorial is designed to help scientists think about the best way to structure and document their USGS public data releases. The ultimate goal is to present data in a logical and organized manner that enables users to quickly understand the data. The first part of the tutorial describes the general considerations for structuring and documenting a data release, regardless of the platform being used to distribute the data. The second part of the tutorial describes how these general consideration can be implemented in ScienceBase. The tutorial is designed for USGS researchers, data managers, and collaborators, but some of the content may be useful for non-USGS researchers who need some tips for structuring and documenting their data for public distribution.

  • Metadata: Standards, tools and recommended techniques

  • Monitoring Resources: web tools promoting documentation, data discovery and collaboration

    The presentation focuses on USGS/​Pacific Northwest Aquatic Monitoring Partnership's (PNAMP) Monitoring Resources toolset.

  • Training Materials for Data Management in Reclamation

    This document (downloadable from this landing page) provides supplementary educational materials focused upon US Bureau of Reclamation (USBR) approaches to data management that use and expand upon a number of USGS training modules on data management.  The USBR supplementary materials include:

    • A discussion of the Reclamation data lifecycle
    • A Reclamation data management plan template
    • Examples of Reclamation data management best practice
    • Lessons learned from various USBR data management efforts. 
  • Python for Data Management

    This training webinar for Python is part of a technical webinar series created by the USGS Core Science Analytics, Synthesis, and Library section to improve data managers’ and scientists' skills with using Python in order to perform basic data management tasks. 

    Who: These training events are intended for a wide array of users, ranging from those with little or no experience with Python to others who may be familiar with the language but are interested in learning techniques for automating file manipulation, batch generation of metadata, and other data management related tasks.

    Requirements: This series will be taught using Jupyter notebook and the Python bundle that ships with the new USGS Metadata Wizard 2.x tool.

    Topics include:
    - Working with Local Files
    - Batch Metadata Handling
    - Using the USGS ScienceBase Platform with PySB

  • USGS Data Management Training Modules—Metadata for Research Data

    This is one of six interactive modules created to help researchers, data stewards, managers and the public gain an understanding of the value of data management in science and provide best practices to perform good data management within their organization. This module covers metadata for research data. The USGS Data Management Training modules were funded by the USGS Community for Data Integration and the USGS Office of Organizational and Employee Development's Technology Enabled Learning Program in collaboration with Bureau of Land Management, California Digital Library, and Oak Ridge National Laboratory. Special thanks to Jeffrey Morisette, Dept. of the Interior North Central Climate Science Center; Janice Gordon, USGS Core Science Analytics, Synthesis, and Libraries; National Indian Programs Training Center; and Keith Kirk, USGS Office of Science Quality Information.