Data Sciences [Core E]
Director - Hakmook Kang, Ph.D.
Core E provides statistical consultation in experimental design, efficient data collection and storage, statistical analysis, and interpretation of findings. Also, we provide consultation in developing big data structures and mining that data to advance IDD research, such large-scale data include BioVU and ImageVU available at VU and VUMC. Through an internal grant mechanism IDD-Reads, Data Sciences Core provides support and training in IDD research for investigators engaging in data science methods.
To view our Core E overview of services webinar click here
Internal Grant Opportunity: See IDD-Reads Grant Awards
Core E services may be requested through the Core E service request form (button at left).
Consulting with researchers to help solve statistical and methodological problems, from design to final analysis, with specific expertise in bio-, behavioral, genetic, neuroimaging statistics, and epidemiologic/health policy studes. Collaborating with investigators to develop novel statistical approaches. Organizes training series.
IDDRC Data Sciences Core Spring 2022 Workshop: Applying Foundational AI Models to Research: A Hands-On Workshop, presented on Feb. 10, 2022, by Jesse Spencer-Smith, Ph.D.
Assisting investigators in accessing and processing with large scale databases, i.e., datasets derived from ImageVU, Research Derivative, Synthetic Derivative, BioVU, REDCap Datasets, PheWAS, curated EHR, and public health data for specific IDD.
Provides consulting with researcher to perform natural language processing (NLP) to extract IDD-related information from unstructured text data.