The H3ABioNet Webinar coordinators and task force cordially invite you to join us for our sixth webinar for 2022, the June webinar titled "Exploration and sharing of global health data using the ClinEpiDB platform".
Webinar Format: The webinar talk will be provided by Professor David Roos, who is a professor of Biology at the University of Pennsylvania (in Philadelphia PA, USA). This fascinating talk will be 40 to 50 minutes long followed by 10 to 15 minutes of Question & Answer as well as Discussion.
Webinar Date: Wednesday, 22nd June 2022
Webinar Time: 8am EST/ 5am PDT / 1pm UTC / 2pm CET/ 2pm WAT /2pm LT/ 3pm CAT / 4pm EAT
URL to join the Webinar: Webinar Link
Description: We live in a world increasingly dominated by data, as this audience is very well aware: from weather forecasting & geolocation mapping to web search & telecommunications; from financial services & econometric modeling to genomic datasets & electronic medical records.  The international public health sector is no exception, with increasing emphasis on large-scale epidemiological studies and data-driven decision-making … as has been very much in evidence during the Covid-19 pandemic.  The clinical epidemiology database, first released in 2018, seeks to leverage robust computational infrastructure and a rigorous ontological framework to facilitate the management and exploration of de-identified data from large, high-quality global health studies, enhancing ethical and effective data FAIRness (Findability, Accessibility, Interoperability & Reusability).  ClinEpiDB currently hosts data representing millions of participants from scores of observational and experimental studies in three major domains: Maternal, Newborn & Child Health; Malaria; and Neglected Tropical Diseases, providing a standardized, user-friendly platform for data exploration and visualization, enabling users to formulate their own questions, rather than being limited to pre-computed representations of the data.  This platform has proved particularly useful for exploring real world patterns associated with complex disease processes.  Providers retain control over data access, including (when appropriate) the ability to share with collaborators and the broader research community, satisfying data-sharing requirements and restrictions mandated by journals, funders, institutions, and national regulatory authorities.  In this webinar, we will use a variety of publicly-accessible studies to demonstrate how the intuitive point-and-click ClinEpiDB interface allows users to search datasets, explore associations between variables, and download data for further analysis.  We will also discuss the challenges and opportunities associated with FAIR data access.  Finally, we will summarize plans for the future, including support for new graph types, map functionality and analysis tools; implementation of user-derived variables and DIY functionality enabling users to upload and privately analyze or share their own data; development of cross-silo queries harmonizing data from related studies and interrogating across epidemiological & molecular datasets; and opportunities for the engagement of additional global partners.
About the Speaker:
David S Roos is the E Otis Kendall Professor of Biology at the University of Pennsylvania (in Philadelphia PA, USA), where he is also affiliated with graduate programs in Microbiology, Virology & Parasitology, Genomics & Computational Biology, Cell & Developmental Biology and Bioengineering.  He has received degrees from Harvard College (AB), and The Rockefeller University (PhD), conducted post-doctoral research at Stanford University, and joined the University of Pennsylvania faculty in 1989.  Dr. Roos is a member of the American Academy of Microbiology, and has received various awards, including the Presidential Young Investigator Award from the National Science Foundation, the Burroughs Wellcome Scholar Award, the Ellison Medical Foundation Senior Scholar Award in Global Infectious Diseases, and a Merit Award from the National Institutes of Health.  He has published >250 scientific research reports, and travels widely as a lecturer and consultant.  Prof. Roos is strongly committed to education, having trained >25 doctoral students and 50 post-doctoral fellows, taught Introductory Biology and Cell Biology to undergraduates and advanced courses in Infectious Disease Biology, and organized workshops in Bioinformatics and Cell Biology at many sites throughout the world.
Research in the Roos lab has yielded genetic tools facilitating molecular dissection of parasite pathogenesis and drug resistance mech­anisms in Toxoplasma & Plasmo­dium, evolutionary insights into parasite cell biology defining novel therapeutic targets, and computational algorithms and robust, sustainable, queryable databases that seek to make large-scale datasets Findable, Accessible, Interoperable, and Reusable (FAIR) by researchers worldwide.  With the success of (the Eukaryotic Pathogen, Host & Vector Bioinformatics Resource Center, supporting genomic datasets), (Clinical Epidemiological Resources) and other production informatics tools, efforts in the Dr. Roos group are now entirely devoted to integrative data science, FAIR & responsible data management, and training in the effective use of Big Data.  For this webinar, Prof. Roos will be joined by epidemiologists Drs Nupur Kittur and Danica Helb, Scientific Data Specialists working on the ClinEpiDB project, which facilitates the management, integration and exploration of clinical, field and epidemiological datasets.  Our hope is that ensuring FAIR data access will impact these fields over the coming generation as thoroughly as genome informatics resources have transformed laboratory research, expediting discovery and translational application, enhancing equity, and advancing the global public health agenda.

Previous H3ABioNet webinars are available on YouTube