U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From Big Data to Smart Data

Open-File Report 2020-1132
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Abstract

The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first century science at the USGS. The workshop agenda was driven by the needs of the CDI with topics highlighting current resources and technologies that could help attendees in their daily work. Workshop-session categories included enabling integrated science, computing in the cloud, advancing data management, releasing and preserving science outputs, and improving usability and communication. These proceedings provide documentation of the plenary talks, topical-session content and notes, posters, live demonstrations, and attendee comments from the 2019 CDI Workshop.

Suggested Citation

Hsu, L., 2021, U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data: U.S. Geological Survey Open-File Report 2020–1132, 48 p., https://doi.org/10.3133/ofr20201132.

ISSN: 2331-1258 (online)

Table of Contents

  • Abstract
  • Introduction
  • Presentations
  • Topical Sessions
  • Trainings
  • DataBlast
  • Summary of Workshop Outcomes
  • Acknowledgments
  • References Cited
  • Appendix 1. Agenda
  • Appendix 2. Attendees
  • Appendix 3. Key Take-aways
  • Appendix 4. Interactive Questions and Comments
  • Appendix 5. Community for Data Integration and Science Support Framework
Publication type Report
Publication Subtype USGS Numbered Series
Title U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data
Series title Open-File Report
Series number 2020-1132
DOI 10.3133/ofr20201132
Year Published 2021
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) Core Science Analytics and Synthesis, Science Analytics and Synthesis
Description ix, 48 p.
Online Only (Y/N) Y
Google Analytic Metrics Metrics page
Additional publication details