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The SPARC Connectivity Knowledge Base of the Autonomic Nervous System
Tom Gillespie, Bernard de Bono, Monique Surles-Zeigler, Natallia Kokash, Fahim Imam, Jyl Boline, Jeffrey Grethe, Maryann Martone
Presenting author:
Tom Gillespie
The NIH Common Fund's Stimulating Peripheral Activity to Relieve
Conditions (SPARC) initiative is a large-scale program that seeks to
accelerate the development of therapeutic devices that modulate
electrical activity in nerves to improve organ function.

A key component of the SPARC initiative is the SPARC Connectivity
Knowledge Base of the Autonomic Nervous system (SCKAN).

SCKAN aims to be a comprehensive knowledge base of autonomic nervous
system nerve to end organ connectivity. Connectivity information is
derived from SPARC experts, SPARC data, literature and textbooks.

A SCKAN release has three major parts: the SPARC dataset metadata
graph, ApiNATOMY and NPO models of neuronal connectivity (SCKAN
proper), and the larger ontology used by SPARC, which is a combination
of the NIF-Ontology and community ontologies.

SCKAN is distributed as two docker images, one that provides a query
interface for SPARQL and Cypher query languages, and one for the
data. The source data and the data image are archived on Zenodo. The
latest release is at https://doi.org/10.5281/zenodo.5337441.

We present an overview of the content of SCKAN and a series of example
use cases along with an overview of the technical architecture.