Hi everyone,

We're starting a new mailing list/google group focused on discussion around
using Jupyter at research facilities (aka "user facilities"), such as X-ray
light sources, observatories, supercomputing centers, etc..

https://groups.google.com/forum/#!forum/jupyter-research-facilities

Here is our focus statement for this new group:

There are a wide range of research facilities (such as X-ray light sources,
astronomical observatories, genetics centers, etc.) that are users or
potential users of the Jupyter ecosystem to support their research. Such
facilities have some common needs in the Jupyter ecosystem:

1. Large data sets that are expensive to produce and prohibitive to
transport need to be stored and analyzed for long periods of time. Often
these data sets must be analyzed remotely.

2. Large computational resources (such as clusters or supercomputers) need
to be scheduled and shared among facility users and accessed remotely.

3. Remote teams need to work in collaboration with facility personnel or
on-site team members to collect and analyze data. This includes both
interactive collaboration as the data is being collected and analysis long
after the data has been collected.

4. Reproducible computational results, including narrative, data, code, and
output, need to be stored and accessible remotely for potentially long
periods of time.

5. Results need to be converted to formats suitable for publication and
sharing with the broader community.

In this group, we welcome questions and discussions relating to the use of
Jupyter at research facilities to address these and other needs.

Thanks,

Jason

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