Date of Award

August 2021

Document Type


Degree Name

Master of Science (MS)


School of Computing

Committee Member

Zijun Wang

Committee Member

Zijun Wang

Committee Member

Pradip Srimani

Committee Member

Feng Luo


Dyslexia is a neurodevelopmental reading disability and is supposed to be affecting about 5-15 percent of the population in the United States alone. However, neuroimaging studies in dyslexia research involve relatively small sample sizes, thus limiting inference and the application of novel methods. Besides, the lack of standards among datasets shared makes the datasets useless and also raises questions about the privacy and security of individual subjects involved in the research. Hence, it is essential to develop a data-sharing platform that solves all of these issues. In this thesis, we develop and describe of the platform Dyslexia Data Consortium. The overarching goal of this project is to advance our understanding of a disorder that has significant academic, social, and economic impacts on children, their families, and society. In this platform, researchers can upload and share dyslexia datasets for collaboration. Furthermore, a deep learning-enabled data quality check ensures that the data shared has all the features needed for study and ensures that the subjects’ privacy is protected. Thus, researchers can access shared data to address fundamental questions about dyslexia, replicate findings, apply new methods, and educate the next generation of dyslexia researchers. Moreover, the platform generates secondary datasets from the shared datasets and provides them to researchers. These secondary datasets can be helpful to determine how much previous findings replicate in their samples. In addition, brain volume estimation and correlation analysis help researchers get answers to questions related to dyslexia.



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.