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

Douglas Rao - NOAA Affiliate douglas.rao at noaa.gov
Tue Dec 7 14:37:31 EST 2021


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*
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