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Deep Insight for Earth Science Data

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  • DATA
    • SEARCH DATA
    • SUBMIT DATA
    • ACCESS DATA PORTALS
    • DATA PRESERVATION
    • TERMS OF USE
  • ABOUT
    • WHAT WE DO
    • OUR TEAM
    • OUR COMMUNITY
    • OUR COMMUNITY PROJECTS
    • OPPORTUNITIES
  • GET STARTED
    • GUIDE TO USING ESS-DIVE
    • DATA SUBMISSION GUIDELINES
    • PROPOSAL GUIDELINES
    • DATA REPORTING FORMATS
    • DATA USE AND CITATION
    • FAQs
  • LEARN MORE
    • NEWSROOM
    • WEBINAR LIBRARY
    • TRAINING EVENTS
    • TRAINING VIDEOS
    • PUBLICATIONS
    • ACRONYMS/GLOSSARY

Webinar on Expanding the Discoverability of your ESS-DIVE Data through External Linking

January 20, 2022 by Dylan O'Ryan

February Community Webinar

Monday, February 7 | 11:00-12:00 PT / 14:00-15:00 ET

View Webinar Video / Link to Webinar Slides

Enhance the discoverability of your datasets by cross-linking relevant data and associated information across repositories. Learn about ESS-DIVE’s new approach and capability to link your ESS-DIVE data to other online repositories and data systems.

This will be a short webinar, with ample time for questions and feedback. We will cover the following use cases for linking your data and metadata:

  • Link to individual data files or copies of your data stored elsewhere
  • Link to the original publication of a dataset (e.g. your project’s data archive) where metadata and data can be found
  • Provide feedback on additional needs for linking to external data, methods, samples, and publications.

Please encourage anyone from your project who may be interested to attend.

Webinar presented by Joan Damerow Community Engagement Lead Scientist

Joan is an environmental scientist with a diverse background in geoscience sampling, freshwater ecology, and biodiversity informatics. She runs engagement activities for ESS-DIVE, including ESS-DIVE webinars, our community data workshop, and is active in relevant conferences and data working groups (e.g. ESIP, RDA, AGU). Joan is interested in interdisciplinary data management and tracking, and works with our community of data contributors to identify, develop, and implement practical data standards in ESS-DIVE that support FAIR principles.

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