May Data Sharing and Reuse Seminar

Dr. Ali Loveys and Fiona Meng will present Laying the Foundation for AI-Ready Data on May 10, 2024, at 12 p.m.

About the Seminar

In September 2023, the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository announced the Data-Centric Challenge aimed at enhancing NIDDK data sets for future artificial intelligence (AI) applications. Challenge participants were tasked with generating an AI-ready data set that can be used for future data challenges and with producing methods to enhance the AI-readiness of NIDDK data. Teams utilized data from two longitudinal studies focused on type 1 diabetes (TEDDY and TrialNet).

The FI Consulting team, led by Dr. Ali Loveys, successfully consolidated and unified multiple TrialNet data sets and identified data outliers. The team enhanced raw data to ensure consistent variable representation and identified numeric and categorical “missingness” to prevent modeling bias, thus enhancing TrialNet data for AI-readiness. The team prepared a data set for time-series analysis, making the data more likely to inform prevention and personalized treatment plans for those at risk of diabetes and diabetes-related complications.

About the Speakers

Dr. Loveys is the Managing Director Healthcare at FI Consulting, a small-business government consultancy. She is dually board certified in primary care and clinical informatics. Dr. Loveys has more than 30 years of experience in leading emerging health information technology innovation, optimization, privacy, and security. Her work bridges clinical and business areas, IT policy, regulations, and standards to advance health care quality and safety. 

Ms. Meng has a background in business analysis, data analysis, data science modeling, and machine-learning system design. As a data scientist at FI Consulting, she provides financial reporting automation solutions to clients and serves as a data scientist on internal projects. Ms. Meng is pursuing her Ph.D. in information systems at the University of Maryland, and her research focuses on the intersection of data science and machine learning in various applications. 

About the Seminar Series

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Janiya Peters at 301-670-4990. Requests should be made at least five days in advance of the event.

The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.