SPARC Data and Resource Center Structure
Overview of the SPARC initiative's Data and Resource Center
The SPARC Data and Resource Center (DRC) is people working collaboratively working across domains and charged with creating a publicly available, multifunctional online hub facilitating coordination, synthesis, and prediction via four core functions: Data Coordination, Map Synthesis, Modeling and Simulation, and Knowledge Management.
The DRC is organized into 4 Cores:
Stores, organizes, manages, and tracks access to SPARC-generated data and resources (PI = Joost Wagenaar, University of Pennsylvania)
Curation and knowledge management hub for SPARC. Works closely with the other Cores to increase the quality and FAIRness of SPARC datasets and building the SPARC Knowledge Graph and services (PIs: Maryann Martone, University of California, San Diego; Bernard de Bono, Whitby Inc., IN).
Maps neural pathways from microscopy image data and associated experimental data into flatmaps and 3D scaffolds that provide a common coordinate framework for comparing and merging data across individuals and species. Builds interactive, modular, continually updated visualizations of nerve-organ anatomy and function. (PIs: Peter Hunter, University of Auckland, New Zealand; Maci Heal, MBF Bioscience, VT).
Develops an open online framework capable of establishing, hosting, connecting, executing, and sharing computational models and data analyses sustainably and reproducibly. The platform permits to create predictive, multiscale, multiphysics models spanning from modulation sources acting at feasible access points through to organ functional responses. (PI: Niels Kuster, IT’IS Foundation, Zurich, Switzerland).
Updated about 4 hours ago