July Data Sharing and Reuse Seminar

Friday, July 8, 2022

Drs. Alan Hutson and Qian Liu will present "NCI Funded Coordinating Center Strategies and Tools for Promoting Data, Software and Model Sharing to the Scientific Community" at the monthly Data Sharing and Reuse Seminar on July 8, 2022 at 12 p.m. EDT.

Watch Recording

About the Seminar

In this presentation, Drs. Hutson and Liu will provide a high-level overview of the data, software and model sharing capabilities and strategies developed as part of the Cancer Moonshot Immuno-Oncology Translational Network (IOTN) Data Management Resource Center (DMRC) and Drug Resistance Sensitivity Network (DRSN) Coordinating Center (CC) funded efforts. They will then transition the presentation to a specific set of common workflow language (CWL) software tools they developed to aid cancer researchers in terms of providing portable and reproducible data analysis workflows across different tools and computing environments. They will provide an overview of Rcwl, an R interface to CWL, which makes it easier to build CWL pipelines within R, and to enable scalable execution in a variety of computing environments, including local workstation, HPC and the cloud. Based on this work, they have developed ReUseData, which uses the CWL framework to standardize the data management for commonly used omics data resources. ReUseData provides curated and fully annotated data sets that are interoperable with workflow-based data analysis methods and promotes reproducibility, data reusability and cloud sharing.

About the Speakers

Dr. Alan Hutson is Chair of Biostatistics and Bioinformatics at Roswell Park Comprehensive Cancer Center. A position he has held for 17 years. He is currently lead PI of the Cancer Moonshot Immuno-Oncology Translation Network (IOTN): Data Management and Resource-Sharing Center (DMRC) and is lead PI for the Drug Resistance Sensitivity Network (DRSN): Coordinating Center (CC). Dr. Hutson is the leader of an NCI-funded ovarian cancer SPORE (PI: Odunsi) biostatistics and biomedical informatics resource. He was Chair of Biostatistics at the University at Buffalo for 15 years, where he participated in multiple federally funded grants and founded the undergraduate and graduate programs in statistics, biostatistics, and bioinformatics and biostatistics. Prior to his tenure in Buffalo, Dr. Hutson was director of the informatics core within the University of Florida’s General Clinical Research Center (GCRC). Dr. Hutson is Full Professor of Oncology at Roswell Park, New York State NYSTAR Distinguished Professor with recognition of excellence in the field of bioinformatics, and Fellow of the American Statistical Association. He has over 250 publications spanning biomedical and biostatistical research and two monographs.

Dr. Qian Liu is an Assistant Professor in the Department of Biostatistics and Bioinformatics at Roswell Park Comprehensive Cancer Center. Dr. Liu received her PhD in Biostatistics from SUNY Buffalo and postdoc training in the Bioconductor Core Group. Dr. Liu is currently a CTSI Scholar with the Mentored Career Development Award sponsored by the NCATS, NIH. Dr. Liu’s research revolves around deciphering large cancer genomic data through the development of computational tools and bioinformatics software by integrating reproducible workflow frameworks and scalable cloud computing strategies.

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 Rachel Pisarski 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.

This page last reviewed on April 6, 2023