Cancer Integrated Data-Enabled Resource (CIDER): A Cancer-Optimized Data Infrastructure 

The Cancer Integrated Data-Enabled Resource (CIDER), formerly the Social Determinants of Health Shared Resource (SHARE), aggregates data from multiple sources including electronic health records (EHR), social determinants of health (SDOH), the Biorepository & Tissue Analysis Shared Resource (BTA), the Cancer Registry, next-generation sequencing (NGS) clinical variant data, and other data sources. 

This integrated data approach empowers data-driven research, supports feasibility analyses for clinical trials, and advances translational science efforts at MUSC Hollings Cancer Center and MUSC at large. 

Meet the team

The CIDER team offers guidance on feasibility determination and enables access to integrated research datasets with appropriate oversight. The team also provides specialized geographic analyses (i.e., mapping spatial distributions, proximity analysis), spatial linkage to contextual data, and assesses geographic determinants related to health care and health outcomes, as well as specialized natural language processing (NLP) and artificial intelligence (AI) services related to the data within the resource. 

Jihad Obeid, M.D.
Director

Melanie Jefferson, Ph.D., MPH
Associate Director

John Pearce, Ph.D.
Environmental Health Geographer

Paul Heider, Ph.D.
Natural Language Processing Expert

David Ptak
Project Manager

Tomoko Goddard
Senior Data Analyst

Guiu Puigcercos i Vilar
Data Analyst 

Services

Feasibility and exploratory consultations

• Provide consultation services to guide feasibility determination and enable access to customized research data sets and analyses for research and publications.   

Geospatial data analyses-adding locational intelligence to our study populations

• Provide specialized geographic analyses, including:
  • Mapping spatial distributions 
  • Where do things occur?
• Proximity Analysis
  • What is close or far away from my population?
• Spatial Linkage to contextual data
  • What co-occurs with my population?
  • Population demographics
  • Environmental conditions
• Social vulnerability and area deprivation 
  • Assessing geographic determinants related to health care and health outcomes
  • Why do things occur where they do?

AI and NLP services

• Provide analytics, machine learning (ML), artificial intelligence (AI), and natural language processing (NLP) support or collaboration on data-driven research projects. Examples include computable phenotyping or predictive modeling using EHR or multimodal data. 

Study-specific dashboards

• Customizable self-service dashboards to assist researchers with feasibility queries and hypothesis generation for research development, including obtaining preliminary data and secondary analyses for research proposals and publications. 

Request a consultation

To request a CIDER consultation, please complete our brief form at the link below.