[Esip-preserve] AMS session on FAIR and Open Data and Software

[Douglas Schuster]

Here's the full description of the session Matt was referring to.
Please pass this along to anyone who might be interested in
submitting.  Thanks -Doug

https://annual.ametsoc.org/index.cfm/2023/program-events/conferences-and-symposia/39th-conference-on-environmental-information-processing-technologies/.

Session Title:  FAIR and Open Data and Software within the Atmospheric
and Ocean Sciences to Support Transparent, Reusable and Efficient
Research and Operations

Session Description: The need to understand linkages between climatic
extremes and security outcomes such as displacement/migration, public
health, and food/electricity production has never been higher.
Analysis of these linkages requires integration of the Earth, social,
economic, and political sciences as well as equitable access to
community datasets, data proximate compute, community developed data
analysis workflows and open source software tools. In this session, we
invite submissions that discuss research, applications and initiatives
that build upon the principles of FAIR (Findable, Accessible,
Interoperable, and Reusable) Open Data and Software within the
atmospheric and related sciences to drive new discoveries. We welcome
technical, policy, and community-focused submissions on a range of
topics related to facilitating transparency of science and leveraging
community supported open science capabilities to drive research and
operational outcomes.  Examples include:

1. Research, operations and industry uses that employ a combination of
public cloud compute, cloud hosted datasets such as those provided
through NOAA’s Open Data Dissemination Program, and open source data
analysis tools and workflows.

2.Solutions for data and software discoverability, metadata creation
and management, provenance tracking, and other relevant topics.

Platforms for reproducible research and reusable tools will accelerate
the analytics enterprise and build the salience, credibility, and
legitimacy required to effectively inform policy. This session will
highlight emerging open-science tools and platforms for weather and
climate-security analysis.

On Tue, Jul 5, 2022 at 4:20 PM Matthew Mayernik via Esip-preserve
<esip-preserve at lists.esipfed.org> wrote:
>
> Hi all,
> We have a session open at the American Meteorological Society Annual Meeting, to take place in Denver, CO, Jan 8-12, 2023.  We would invite any submissions!
>
> Session Topic ID: 62154
>
> Session Topic Title: FAIR and Open Data and Software within the Atmospheric and Ocean Sciences to Support Transparent, Reusable and Efficient Research and Operations
>
> Conference: 39th Conference on Environmental Information Processing Technologies   (Joint with 26th Conference of  Atmospheric Librarians International, the 22nd Conference on Artificial Intelligence for Environmental Science, the 13th Symposium on Advances in Modeling and Analysis Using Python, the 13th Conference on Transition of Research to Operations, and the Committee on Open Environmental Information Services)
>
> Should you have any questions related to your session topic, please contact the Program Chair for your assigned conference. Program chair contact information can be found on the webpage for each conference; simply select your conference name (as listed above) on this page: https://annual.ametsoc.org/index.cfm/2023/program-events/conferences-and-symposia/
>
> Program Chairs should be in touch with you in mid-late August to discuss the role of session chair for any sessions related to your topic. Please note that it is up to the Program Chairs to decide how to involve session topic submitters in organizing the sessions and program.
>
> As of right now, the deadline for all submissions is Wednesday, 24 August 11:59pm (Eastern).
>
> Visit the AMS 103rd Annual Meeting website for the most up-to-date information about the meeting.
>
>
> Best regards,
> Matt
>
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-- 
Doug Schuster
Manager, NCAR/CISL/ISD Data Engineering and Curation Section (DECS)
https://orcid.org/0000-0003-0448-3591