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CSSI Frameworks: Cyberinfrastructure for remote data collection with babies & children

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Název: CSSI Frameworks: Cyberinfrastructure for remote data collection with babies & children
Autoři: Melissa Kline Struhl
Rok vydání: 2025
Témata: Psychological methodology, design and analysis, Software Infrastructure, Child Development
Popis: The Children Helping Science/Lookit platform serves researchers who work with babies and children through remote infrastructure for: (a) Hosting of unmoderated (on-demand) studies that securely capture webcam video (b) Centralizing externally hosted (videoconference or unmoderated) studies, and (c) Managing family-researcher communication and sensitive data handling. Families participate from home in studies from over 150 institutions through a single portal. Researchers benefit from targeted recruitment, secure access to demographics, and integration across a range of study infrastructures. As the platform expands, we are investigating the potential of the shared data storage and governance model to support AI and machine learning tools for researchers. The CHS system provides unprecedented access to research video data of this kind, making it possible to collect AI training datasets at scale. We are beginning with iCatcher+, an existing machine learning tool created using data from CHS, and are eager to explore what other tools we can provide to researchers who collect data using the platform. We have also integrated the behavioral data standard Psych-DS into the platform, providing an unprecedented step forward in FAIR data management for the researchers in this community.
Druh dokumentu: still image
Jazyk: unknown
Relation: https://figshare.com/articles/poster/CSSI_Frameworks_Cyberinfrastructure_for_remote_data_collection_with_babies_children/29641124
DOI: 10.6084/m9.figshare.29641124.v1
Dostupnost: https://doi.org/10.6084/m9.figshare.29641124.v1
https://figshare.com/articles/poster/CSSI_Frameworks_Cyberinfrastructure_for_remote_data_collection_with_babies_children/29641124
Rights: CC BY 4.0
Přístupové číslo: edsbas.F9B8F888
Databáze: BASE
Popis
Abstrakt:The Children Helping Science/Lookit platform serves researchers who work with babies and children through remote infrastructure for: (a) Hosting of unmoderated (on-demand) studies that securely capture webcam video (b) Centralizing externally hosted (videoconference or unmoderated) studies, and (c) Managing family-researcher communication and sensitive data handling. Families participate from home in studies from over 150 institutions through a single portal. Researchers benefit from targeted recruitment, secure access to demographics, and integration across a range of study infrastructures. As the platform expands, we are investigating the potential of the shared data storage and governance model to support AI and machine learning tools for researchers. The CHS system provides unprecedented access to research video data of this kind, making it possible to collect AI training datasets at scale. We are beginning with iCatcher+, an existing machine learning tool created using data from CHS, and are eager to explore what other tools we can provide to researchers who collect data using the platform. We have also integrated the behavioral data standard Psych-DS into the platform, providing an unprecedented step forward in FAIR data management for the researchers in this community.
DOI:10.6084/m9.figshare.29641124.v1