Events
Using Data Systems to Increase Accessibility in Disease Specific Research | RTI Tech Talk Webinar
Date
July 26, 2023 01:00pm - 02:00pm
US/Eastern
Multifactorial, complex human diseases require a variety of approaches and data types to best understand and treat them. Combining data across programs produces more accurate and impactful insights that not only transform research but also treatment; however, data are often siloed into specific repositories and sharing is difficult due to variability in file formats and metadata.
To combat these challenges, RTI International has teamed up with the Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) Research Network and the National Institutes of Health (NIH) to develop the mapMECFS data portal. The portal is designed to facilitate data sharing and findability by allowing ME/CFS researchers to browse, share, compare, and download biological and clinical datasets from within one disease-specific repository using custom, smart search tools.
Watch the recording of the Using Data Systems to Increase Accessibility in Disease Specific Research webinar, part of the RTI Tech Talk series, to hear how to share research data to support data re-use, replicate key findings, and enhance the biological interpretation of results.
Learn more about RTI's coordinating center, data analysis, and data modernization expertise.
View the Recording
Meet the Panelists
Megan Carnes, Research Statistician and Genomics Research Scientist
Megan Ulmer Carnes, PhD, is a Research Statistician and Genomics Research Scientist who leads multi-site data coordinating centers and supports investigator-initiated research projects. Her technical expertise includes genetic epidemiology and multi-omic data analysis including genome-wide association studies, epigenomics, transcriptomics, and microbiome studies with a focus on complex human disease phenotypes with multifactorial disease etiology. She has extensive experience with improving genomic and clinical data sharing and reusability by building user friendly data portals.
Alex Harding, Software Developer
Alex Harding is a senior software developer and program manager in RTI’s Center for Data Science and AI. At CDS.ai, Mr. Harding leads and works with software developers, researchers, and data scientists to develop novel software solutions for problems across the spectrum of domains at RTI. Mr. Harding is an advocate for practicable, maintainable software using modern software engineering patterns and best practices.
Ravi Mathur, Bioinformatician
Ravi Mathur is a Bioinformatician whose research focuses on integrating diverse datasets for novel molecular discoveries. Dr. Mathur has broad experience with a variety of molecular data types (genetics, gene expression, proteomics, microbiome, and metabolomics), and various computation approaches (association analysis, statistical programming, cloud computing, and data integration). Since joining RTI in 2017, he has served as a lead analyst on several projects funded by the National Institutes of Health (NIH), where he has successfully applied and led genome-wide association analysis, meta-analysis, genomic structure equation modeling, and multi-omics projects.
