[Esip-datareadiness] **TODAY** ESIP Data Readiness Cluster December Monthly Call - 8 December 1 PM EST

[Douglas Rao - NOAA Affiliate]

Dear all,

This is a reminder for our call in 30 minutes. You can find the meeting
agenda in the google doc below.

https://docs.google.com/document/d/1mGzXpPHzqhIjMWvMg7XQjjwMn4-VqUn97iEHSwbiZpg/edit?usp=sharing

See you shortly!
-Douglas

On Tue, Dec 7, 2021 at 2:37 PM Douglas Rao - NOAA Affiliate <
douglas.rao at noaa.gov> wrote:

> Dear all,
>
> I hope you all had a great weekend! This email is a reminder for our
> December monthly call this *Wednesday (2021-12-08 1 PM EST/UTC-5)*.
>
> We have two main agenda items on the book
> - An early view of the AI-ready data survey (24 responses) with some
> interesting results
> - Planning for ESIP Winter January Meeting Session
> <https://2022esipjanuarymeeting.sched.com/event/qko4/ai-ready-data-draft-standard-and-use-cases>
>
> 1. finalize use cases
>
> 2. plan for discussion topics - how to navigate the cluster activities in
> 2022
>
>
> Zoom link for the meeting -  https://us02web.zoom.us/j/88105672081?pwd=
>> Z2JPcjMzV3BpOWhQRkQ0b29LQlBlZz09
>> <https://www.google.com/url?q=https://us02web.zoom.us/j/88105672081?pwd%3DZ2JPcjMzV3BpOWhQRkQ0b29LQlBlZz09&sa=D&source=calendar&ust=1638992584963067&usg=AOvVaw1i2GNfdmXrbAbDzBSrv0GH>
>>
>
> Meeting ID: 881 0567 2081
>
> Passcode: 006793
>
>
> Looking forward to talking with you all tomorrow!
> Best,
> Douglas
>
> PS: please feel free to share the AI-ready data survey with your network
> (see message below).
>
> ---------- Forwarded message ---------
> From: Yuhan Douglas Rao <yrao5 at ncsu.edu>
> Subject: Survey on AI-Ready Open Environmental Data
> To: Yuhan Douglas Rao <yrao5 at ncsu.edu>
>
> Dear colleagues,
>
>
>
> Do you use open environmental data in your artificial intelligence or
> machine learning (AI/ML) research and development? Do you have experience
> and ideas about what factors make data easier to use for AI/ML applications?
>
>
>
> The Data Readiness <http://wiki.esipfed.org/Data_Readiness> collaboration
> group of the Earth Science Information Partners (ESIP)
> <http://esipfed.org/> is conducting a voluntary and anonymous survey to
> understand user requirements for open environmental data that can enable
> AI/ML applications (i.e., AI-readiness). This survey may take you 20–25
> minutes to complete.
>
>
>
> *Access the survey using this link* - https://bit.ly/ai-ready-data. The
> survey will be open until *22 December 2021 *and we will send one
> reminder request to complete it.
>
>
>
> Your inputs are much needed to help data producers and providers to
> understand user requirements for AI-ready data and make improvements for
> open environmental data. These improvements will benefit all AI/ML
> application developers and general data users with less effort in cleaning
> and preparing the data for their use cases.
>
>
>
> Here’s why we think it’s worth investing your time. To our knowledge, this
> is the first time that AI/ML practitioners have been asked about their
> detailed data needs. Your input will be analyzed and compiled as an
> environmental and Earth data community guideline to:
>
>
>    - Inform data providers in evaluating existing open environmental
>    datasets to assess their AI-readiness, helping data users discover data
>    that already meets their needs.
>    - Provide a consistent framework for different data users to assess
>    AI-readiness and ensure data interoperability across different data centers.
>    - Prioritize modernization and improvement efforts to improve open
>    environmental data for AI/ML applications and general uses.
>    - Set community standards for new dataset development.
>
>
>
> We hope this collaborative effort coordinated by the Data Readiness group
> of ESIP can produce community-driven requirements for AI-ready data and
> lead to official data standards development to improve the usability of
> open environmental data.
>
>
>
> Thank you so much for your time. Please reach out If you have any
> questions about the survey.
>
>
>
> Best regards,
>
> Yuhan “Douglas” Rao, NC State University, co-chair
>
> Tyler Christensen, NOAA Center for Artificial Intelligence, co-chair
>
> ESIP Data Readiness Cluster
>
> (In collaboration with NASA ESDS Data Interoperability Working Group)
>
>
> ---------- Forwarded message ---------
> From: Douglas Rao - NOAA Affiliate <douglas.rao at noaa.gov>
> Date: Fri, Dec 3, 2021 at 4:15 PM
> Subject: ESIP Data Readiness Cluster December Monthly Call - 8 December 1
> PM EST
> To: <esip-datareadiness at lists.esipfed.org>
>
>
> Dear all,
>
> This is a friendly reminder for our cluster's December monthly call on *8
> December 2021 at 1 PM EST/6 PM UTC*.
>
> Zoom link for the meeting -  https://us02web.zoom.us/j/88105672081?pwd=
>> Z2JPcjMzV3BpOWhQRkQ0b29LQlBlZz09
>> <https://www.google.com/url?q=https://us02web.zoom.us/j/88105672081?pwd%3DZ2JPcjMzV3BpOWhQRkQ0b29LQlBlZz09&sa=D&source=calendar&ust=1638992584963067&usg=AOvVaw1i2GNfdmXrbAbDzBSrv0GH>
>>
>
> Meeting ID: 881 0567 2081
>
> Passcode: 006793
>
>
> We will focus on our discussion for the ESIP January Meeting Session
> planning. You can find our session description below (*18 January 2022,
> 1:30 - 3:00 PM EST*).
>
>
> https://2022esipjanuarymeeting.sched.com/event/qko4/ai-ready-data-draft-standard-and-use-cases
>
> We are looking to have four use cases featured during the session. So if
> you have suggested use cases, please feel free to let Tyler or me know or
> bring them up to the group for discussion.
>
> Also, if you are not aware yet, we launched our *AI-ready data survey
> (bit.ly/ai-ready-data <http://bit.ly/ai-ready-data>)*. We received 13
> responses so far. Please feel free to share this survey with your networks
> (see the email below). The survey is due on 22 December 2021 so we can
> present preliminary results during ESIP January Meeting.
>
> Looking forward to seeing you next week!
>
> -Douglas
>
> ---------- Forwarded message ---------
> From: Yuhan Douglas Rao <yrao5 at ncsu.edu>
> Subject: Survey on AI-Ready Open Environmental Data
> To: Yuhan Douglas Rao <yrao5 at ncsu.edu>
>
> Dear colleagues,
>
>
>
> Do you use open environmental data in your artificial intelligence or
> machine learning (AI/ML) research and development? Do you have experience
> and ideas about what factors make data easier to use for AI/ML applications?
>
>
>
> The Data Readiness <http://wiki.esipfed.org/Data_Readiness> collaboration
> group of the Earth Science Information Partners (ESIP)
> <http://esipfed.org/> is conducting a voluntary and anonymous survey to
> understand user requirements for open environmental data that can enable
> AI/ML applications (i.e., AI-readiness). This survey may take you 20–25
> minutes to complete.
>
>
>
> *Access the survey using this link* - https://bit.ly/ai-ready-data. The
> survey will be open until *22 December 2021 *and we will send one
> reminder request to complete it.
>
>
>
> Your inputs are much needed to help data producers and providers to
> understand user requirements for AI-ready data and make improvements for
> open environmental data. These improvements will benefit all AI/ML
> application developers and general data users with less effort in cleaning
> and preparing the data for their use cases.
>
>
>
> Here’s why we think it’s worth investing your time. To our knowledge, this
> is the first time that AI/ML practitioners have been asked about their
> detailed data needs. Your input will be analyzed and compiled as an
> environmental and Earth data community guideline to:
>
>
>    - Inform data providers in evaluating existing open environmental
>    datasets to assess their AI-readiness, helping data users discover data
>    that already meets their needs.
>    - Provide a consistent framework for different data users to assess
>    AI-readiness and ensure data interoperability across different data centers.
>    - Prioritize modernization and improvement efforts to improve open
>    environmental data for AI/ML applications and general uses.
>    - Set community standards for new dataset development.
>
>
>
> We hope this collaborative effort coordinated by the Data Readiness group
> of ESIP can produce community-driven requirements for AI-ready data and
> lead to official data standards development to improve the usability of
> open environmental data.
>
>
>
> Thank you so much for your time. Please reach out If you have any
> questions about the survey.
>
>
>
> Best regards,
>
> Yuhan “Douglas” Rao, NC State University, co-chair
>
> Tyler Christensen, NOAA Center for Artificial Intelligence, co-chair
>
> ESIP Data Readiness Cluster
>
> (In collaboration with NASA ESDS Data Interoperability Working Group)
>
> --
> Douglas Rao (he/him/his)
> North Carolina State University <http://www.ncsu.edu>
> Cooperative Institute for Satellite Earth System Studies (CISESS)
> <http://www.ncics.org>
> NOAA National Centers for Environmental Information
> <http://www.ncei.noaa.gov>
> 151 Patton Ave. Asheville, NC 28801
>
> douglas.rao at noaa.gov
> +1.828.271.4903
> Phone is currently not monitored during teleworking.
>
> "Every individual matters. Every individual has a role to play. Every
> individual makes a difference.” – *Dr. Jane Goodall*
>
>
> --
> Douglas Rao (he/him/his)
> North Carolina State University <http://www.ncsu.edu>
> Cooperative Institute for Satellite Earth System Studies (CISESS)
> <http://www.ncics.org>
> NOAA National Centers for Environmental Information
> <http://www.ncei.noaa.gov>
> 151 Patton Ave. Asheville, NC 28801
>
> douglas.rao at noaa.gov
> +1.828.271.4903
> Phone is currently not monitored during teleworking.
>
> "Every individual matters. Every individual has a role to play. Every
> individual makes a difference.” – *Dr. Jane Goodall*
>


-- 
Douglas Rao (he/him/his)
North Carolina State University <http://www.ncsu.edu>
Cooperative Institute for Satellite Earth System Studies (CISESS)
<http://www.ncics.org>
NOAA National Centers for Environmental Information
<http://www.ncei.noaa.gov>
151 Patton Ave. Asheville, NC 28801

douglas.rao at noaa.gov
+1.828.271.4903
Phone is currently not monitored during teleworking.

"Every individual matters. Every individual has a role to play. Every
individual makes a difference.” – *Dr. Jane Goodall*
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