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..
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