[esip-semantictech] Cyberinfrastructure for Sustained Scientific Innovation (CSSI) - Data and Software (NSF 18-531)

[Mcgibbney, Lewis J (398M)]

Hi Folks,
We mentioned, at the very very end of today’s call, that there is a brand-new NSF call out

https://www.nsf.gov/pubs/2018/nsf18531/nsf18531.pdf
I would like to initiate a thread for putting a team together to advance our semantic technologies roadmap through a Semantic Software Framework which will meet the directorate specific priorities of the NSF Directorate for Geoscience (GEO).

I’ve provided an overview of what GEO is looking for below.
I have a concept in mind which would combine the following semantic technologies; COR, BioPortal, RDF, SPARQL, GeoSPARQL, SPARLQL-ST with VR/AR Technologies to promote seamless discovery, access, and transfer of data and metadata across data resources and centers that are supported by GEO.

What I would like to know initially who would be interested in progressing the idea of putting together a ESIP SemTech (and others) proposal team?

=======================================

The Directorate for Geosciences (GEO) is interested in the following research fields: atmospheric and geospace science, earth science, ocean science, and polar science. The directorate welcomes proposals that focus on the development and implementation of automated, executable, and optimized workflows that:

  *   are capable of real- and near-real-time archiving and manipulation of sensor and other field-based data, including experimental and/or simulation data;
  *   promote seamless discovery, access, and transfer of data and metadata across data resources and centers that are supported by GEO;
  *   “leverage-through-sharing” of existing investments in university, federal, and commercial computing and infrastructure;
  *   engage community models for the assimilation and use of data for initialization, state estimation, or sensitivity analysis; and
  *   encourage the development or reuse of computational techniques (i.e., high-performance distributed computing, machine learning, cloud computing, etc.) without which simulations would be difficult to conduct or large volumes of data could not be manipulated, analyzed, and transferred. The proposed computational techniques must be framed as sub-tasks within the proposed workflow.

All workflows must be designed to overcome significant bottlenecks to solving compelling Earth science questions.

Programmatic areas of interest within GEO include:

The Office of Polar Programs (OPP)
is interested in activities that advance understanding of the current and future states of
high latitude ocean circulation, atmospheric conditions, marine and terrestrial ecosystems, and biogeochemistry, and the
mechanisms that drive the seasonal evolution of sea and land ice melt. OPP welcomes interdisciplinary research that focuses
on how the components of the polar regions (land, atmosphere, ocean, sea and land ice, etc.) interact as a system, with
feedbacks and unanticipated emergent properties. OPP also welcomes proposals related to polar astrophysics and geospace
research. Investigators who are interested in Arctic social science research are encouraged to also read the SBE
Programmatic Areas of Interest below, and to contact the cognizant OPP and SBE program officers.

The Division of Atmospheric and Geospace Sciences (AGS)
is interested in answering fundamental science questions related
to atmospheric and geospace research, including a wide variety of important processes that impact humans and society, such
as space weather, tropospheric weather, physical and dynamic meteorology, climate, and air quality.

The Division of Earth Sciences (EAR)
is interested in improving our understanding of the structure, composition, and evolution
of the Earth, the interaction with life, and the processes that govern the formation and behavior of the Earth's materials. EAR
interests include the fields of "solid-earth" science (geology and paleontology, geochemistry, geophysics, continental
hydrology, geomorphology, tectonics, and geobiology).

The Division of Ocean Sciences (OCE)
is interested in activities that advance understanding of all aspects of the global
oceans and ocean basins, including their interactions with people and the integrated Earth system.


Dr. Lewis John McGibbney Ph.D., B.Sc.
Data Scientist II
Computer Science for Data Intensive Applications Group (398M)
Instrument Software and Science Data Systems Section (398)
Jet Propulsion Laboratory
California Institute of Technology
4800 Oak Grove Drive
Pasadena, California 91109-8099
Mail Stop : 158-256C
Tel:  (+1) (818)-393-7402
Cell: (+1) (626)-487-3476
Fax:  (+1) (818)-393-1190
Email: lewis.j.mcgibbney at jpl.nasa.gov<mailto:lewis.j.mcgibbney at jpl.nasa.gov>
ORCID: orcid.org/0000-0003-2185-928X

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