Connectionists: Call for community review: 2 new neuroscience SBPs

[INCF]

Two calls for community review:
1. Digital SWC Reconstructions Describing Neuron Morphology (SWC)
2. SPARC Data Structure

Feedback from the community is an important part of our review process; it
helps us ensure that the standard has community support and is useful and
practical to the community. By commenting, you contribute to improving the
standard for current and future users!

1. Digital SWC Reconstructions Describing Neuron Morphology (SWC)

SWC files (file extension of .swc) are text-based (ASCII text) files that
describe three-dimensional neuronal or glial morphology. These digital
reconstructions represent morphology as a vectorized tree structure, made
of a series of connected nodes. An SWC file contains a series of text-based
rows where each neuron node is described by a single row of only seven
space-separated values. The format is simple and intuitive; a parser of or
writer to the format could be implemented by anyone with knowledge of any
programming language. With an open archive and freely available structure
editor, the SWC system facilitates community-wide pooling of data for
building biophysically realistic neuronal models and studying the
morphological variation between neurons, contributing to a greater
neuroscientific cooperation and openness.

Review by Aug 15

Learn more: incf.org/commentaries/swc
<https://www.incf.org/commentaries/swc>

2. SPARC Data Structure

Financially backed by the NIH Common Fund, SPARC is a large-scale project
which aims to deepen our knowledge of nerve-organ interactions. With an
initial focus on bioelectronic medicine, the SPARC consortium created the
SPARC data structure (SDS), a file and metadata organizational scheme
inspired by the Brain Imaging Data Structure (BIDS). This data structure
has proven capable of handling complex datasets from multiple and
heterogeneous species, measurement techniques, and spatial scales. One of
the primary purposes of SDS is to increase the integrity of scientific
research by promoting FAIR and open science practices, particularly by
facilitating the generation of well-annotated, organized, standardized, and
shared biomedical datasets.

Review by Aug 15

Learn more: incf.org/commentaries/sparc
<https://www.incf.org/commentaries/sparc>

Thanks for your help!
/The INCF Team
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