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)
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.
Resources: https://github.com/neurdylab/physio_QA_manual