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2020 NOAA ENVIRONMENTAL DATA MANAGEMENT WORKSHOP
Data to Decisions: Putting NOAA Data to Work 
Virtual workshop  August 17-21, 2020
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Please sign-up for the 2020 EDMW Mailing List to ensure you receive all workshop announcements. There is no registration fee for this year’s EDM Workshop, attendees do need to register for the plenary each day at the links below.  Further workshop details and FAQs can be found in the Meeting Info page below. If you have additional questions, please email the planning team: edmw.planning.team@noaa.gov.


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Satellite Photo Challenge Results and Answers

Thursday, August 20 • 3:30pm - 5:00pm
6C: Putting visualization to work on your science data

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Link to Recording: link to video file on Google Drive
Slides: presentations folder on Google Drive


Chair: Rowland Schweitzer


Scientific visualization remains an important part of data discovery, research, and communication. There is a
proliferation of tools for data visualization, but there is often a disconnect between the tools used for visualization in the working phase of data exploration and the tools available for communication. Science groups often have to seek out the help of overworked computing systems staff personnel to put their data to work communicating NOAA’s science mission outside of their laboratory. This session invites talks on visualization systems that help bridge that gap, be it desktop tools that can be connected to the Web (like PyFerret via Notebooks), Live Access Server (with its new admin web interface for configuring data), to systems like DASH which allow the use of Python data tools like Panda Dataframes and Numpy while automatically connecting the resulting visualization to the Web. What tools are you using to put visualization to work on NOAA’s data?


Presentations (abstracts in this Google Doc):
  1. A Dashing Data Display -- Harnessing the Hype of Data Dashboards 
    Roland Schweitzer, Kevin O'Brien
  2. MetaPipe: Raw metabarcoding reads to presentable data products via a rapid bioinformatics pipeline 
    Sean McAllister, Matt Galaska, Emily Norton, Chris Paight
  3. Ocean WRIT: Wb-based Reanalysis Intercomparisons 
    Cathy Smith, Michael Alexander, Gilbert Compo, Matthew Newman
  4. Using Teamwork as a Tool for Scientific Communication
    Jessicca Griffin,  Laura E. Stevens, Sarah M. Champion
  5. Geographic Data Interoperability and Visualization with Python 
    Seth Urion, Megan Moore, Brendan Sylvander, Jeff Cowen
  6. Data Visualization for Surface Ocean Carbon and Ocean Acidification Time Series Observations 
    John Osborne, Adrienne Sutton, Sylvia Musielewicz, Stacy Maenner, Roman Battisti, John Evans, Randy Bott, Sean Dougherty
  7. Python Killer Whale and Salmon Art
    Brendan Sylvander, Mike Ford, Seth Urion



Moderators
RS

Roland Schweitzer

Programmer, OAR/PMEL/SDIG

Speakers
BS

Brendan Sylvander

Scientific Data Management, USDOC NOAA NWFSC
avatar for Cathy Smith

Cathy Smith

Web and Data Lead, OAR/PSL
Climate and weather data analysis. Making data user access easier.
avatar for Jessicca Griffin

Jessicca Griffin

Visual Communications Specialist, NCSU/CISESS
SU

Seth Urion

Senior Developer, NMFS/NWFSC
I work on data and metadata automation projects, mostly in Python. I dabble in Data Science and Machine Learning especially as it applies to environmental data.
JO

John Osborne

Research Engineer, NOAA/PMEL
Data discovery, data visualization, Python, Javascript, SQL


Thursday August 20, 2020 3:30pm - 5:00pm EDT