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Gathering a variety of physiological data examples, which include outputs from different recording devices, data collection initiatives, and data of varying quality. The aim is to facilitate a community-driven approach to annotate these data examples and create a consensus on identifying and resolving data issues.
Objectives:
Crowdsourcing Data Annotations: Identify common issues and discuss potential fixes.
Creating Consensus: Build agreement on the nature of data issues and the community practices for fixing them (if possible).
Identifying Dataset/Recording Device Specific Issues: Identify common issues and discuss potential fixes.
from the existing literature (not limited to neuroimaging)
open datasets (HCP-YA, HCP-A, NKI)
internal small datasets (from various labs)
The text was updated successfully, but these errors were encountered:
Gathering a variety of physiological data examples, which include outputs from different recording devices, data collection initiatives, and data of varying quality. The aim is to facilitate a community-driven approach to annotate these data examples and create a consensus on identifying and resolving data issues.
Objectives:
Crowdsourcing Data Annotations: Identify common issues and discuss potential fixes.
Creating Consensus: Build agreement on the nature of data issues and the community practices for fixing them (if possible).
Identifying Dataset/Recording Device Specific Issues: Identify common issues and discuss potential fixes.
The text was updated successfully, but these errors were encountered: