BIOINFORMATICS SEMINAR SERIES

https://bioinformatics.udel.edu/seminar

CBCB Seminar

October 3, 2022 3:30 PM

Ammon-Pinizzotto Biopharmaceutical Innovation (BPI) Building
Conference Room 140

Data Harmonization and Integration in the Common Fund Data Ecosystem

Dr. Michelle Giglio

Associate Professor, Institute for Genome Sciences, University of Maryland Baltimore, MD

The NIH Common Fund has supported multiple research and data generation programs spanning a broad range of biological topics including the human microbiome, the three-dimensional organization of the nucleus, and the druggable genome, to name just a few. This has resulted in the creation of numerous data coordination centers (DCCs) to house the diverse data and resources produced by each Common Fund program. To facilitate the ability of researchers to search for and find information across DCCs, the Common Fund Data Ecosystem (CFDE) was formed. The CFDE provides a centralized resource for storage and organization of metadata about DCC data assets. Key to success of the CFDE is metadata integration and harmonization through the use of community standards. This allows query of the metadata through the CFDE Portal, a web-based resource. Currently, the CFDE Portal contains metadata records originating from 11 Common Fund Data Coordination Centers describing nearly 4.7 million files and thousands of biosamples and subjects.

Dr. Giglio received a PhD from Johns Hopkins University School of Medicine. She did a postdoc at The Institute for Genomic Research in Rockville, MD, where she later became a staff scientist. In 2007 she was appointed as faculty at University of Maryland School of Medicine. Her research interests include enhancing the FAIRness of data through the application of community standards for data analysis and metadata capture in projects, such as, the Human Microbiome Project Data Coordination Center, the Neuroscience Multi-Omic Archive, and the Common Fund Data Ecosystem Coordinating Center. Dr. Giglio is also involved in ontology development for increasing data reusability and interoperability, developing (e.g., developed the evidence ontology and ontology for microbial phenotypes, and contributed to the gene ontology). She is also very committed to training the next generation of scientists (e.g., She organizes and runs several STEM events to K-12 schools/programs in the Baltimore area and participates in multiple outreach events to local K-12 students including the CURE Scholars program and the Maryland Microbiome Project).

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