Accepted for/Published in: JMIR Mental Health
Date Submitted: Mar 13, 2025
Open Peer Review Period: Mar 21, 2025 - May 16, 2025
Date Accepted: Jun 26, 2025
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Directory of Public Datasets for Youth Mental Health: Enhancing Research through Data, Accessibility, and Artificial Intelligence
ABSTRACT
This paper introduces a curated directory of publicly available datasets focused on youth mental health (under 18 years old). Youth mental health issues have been recognized as a pressing crisis in recent years in the USA. The directory is designed to serve as a critical infrastructure to enhance research, inform policy-making, and support the application of artificial intelligence (AI) and machine learning (ML) in youth mental health research. Unlike a systematic review, this paper offers a brief review of open data recourses, addressing the challenges posed by the growing volume of fragmented health data sources in youth mental health. By centralizing these datasets, the directory enables researchers to easily discover and access relevant datasets, fostering secondary data analysis and linked data analysis. This directory has the potential to reveal deeper insights into factors like school health policies, youth mental health outcomes, and cross-country comparisons. By improving data integration and accessibility, the directory encourages interdisciplinary collaboration and the development of evidence-based interventions for youth mental health issues. The paper also discusses the potential for automated data curation approaches, enhancing efficiency and supporting AI and ML in youth mental health research, ultimately contributing to more effective, data-driven policies, preventions, and interventions for youth mental health.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.