Dyslexia Data Consortium Repository: A Data Sharing and Delivery Platform for Research.
Roshan Bhandari1, Rishikesh V Phatangare1, Mark A Eckert2
1School of Computing, Clemson University, Clemson, SC, USA.
Brain Informatics : 16Th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings. International Conference on Brain Informatics (16Th : 2023 : Hoboken, N.J.)
|February 14, 2024
Summary
A new online platform, DyslexiaData.org, facilitates open science for dyslexia research by sharing neuroimaging data and machine learning tools. This resource aims to advance understanding of reading disabilities and support future scientific discovery.
Area of Science:
- Neuroscience
- Developmental Psychology
- Computational Biology
Background:
- Dyslexia affects 5-17% of the US population, presenting challenges in neurobiological research due to small, multi-site sample sizes.
- Limited data accessibility hinders the application of advanced methods like deep learning in dyslexia studies.
Purpose of the Study:
- To establish an open-access online platform (DyslexiaData.org) for data sharing and advanced research in dyslexia.
- To provide researchers with secondary datasets and tools to enhance replication and foster novel research methodologies.
Main Methods:
- Development of an integrated online platform featuring data-sharing capabilities.
- Implementation of machine learning algorithms to generate secondary datasets (e.g., cortical thickness, regional brain volume).
Main Results:
- The platform provides access to curated neurobiological data associated with dyslexia.
- Facilitates the generation of secondary datasets for advanced research applications.
Conclusions:
- DyslexiaData.org aims to overcome limitations in current dyslexia research by promoting open science and data accessibility.
- The platform will support fundamental research, replication studies, and the education of future researchers, ultimately advancing the understanding of dyslexia.
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