The US Extremely Large Telescope Program (US-ELTP) is a joint endeavor of NSF's NOIRLab and the organizations building the Giant Magellan Telescope (GMT) and the Thirty Meter Telescope (TMT). It will provide all US astronomers the opportunity to use this powerful, bi-hemispheric ELT system and to conduct research using archived data from GMT and TMT. 

The US-ELTP is currently developing their plans for data services and science platforms (SP). Current users such as yourself of existing SPs, like NOIRLab's Astro Data Lab and Rubin Science Platform (RSP), already have significant experience. Thanks for taking this short survey (less than 10 minutes) to help the US-ELTP in understanding the science platform needs of the community, including needed user support and training.

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* 1. How often do you use a science platform such as, e.g., NOIRLab's Astro Data Lab or Rubin's RSP?

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* 2. How important are the data services provided by science platforms for your current and/or future research?

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* 3. What are your main use cases for a science platform? (Please check all that apply)

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* 4. How useful to you are the following forms of user support with respect to science platforms?

  Not useful Somehow useful Quite useful Very useful Have not tried
Online help forum where users and the science platform team can post
Online FAQ
Q&A
Live chat (e.g., Slack)
Support via email
Support via social media (e.g., Twitter)
Issue tracking on GitHub
Organized hack sessions
Assistance at science meetings
Virtual office hours

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* 5. How useful to you are the following forms of user training at science platforms?

  Not useful Somehow useful Quite useful Very useful Have not tried
Online documentation
Tutorial videos
Example computational notebooks
Demos at scientific meetings
Annual instructional workshop
Recorded training sessions
Step-by-step command-line tutorials
Organized workshops at meetings (e.g., AAS)

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* 6. Most science platforms offer a Jupyter notebook environment that allows remote computation close to the large data. If you are using Jupyter notebooks, please indicate your most common use cases. (Please check all that apply)

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* 7. Please share with us any further comments about science platforms and user support that you feel are not covered by the previous questions.

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