Topic: Data Resources

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Summary: Storing and querying massive datasets can be time-consuming and expensive without the right tools. Google BigQuery is one of several enterprise data warehouse technologies that solves this problem by enabling SQL queries using the processing power distributed cloud infrastructure. Arbitrarily large structured and semi-structured datasets (think tables and JSON files) can be loaded into BigQuery and then queried and analyzed in real-time regardless of size. Data in BigQuery can also be shared, reused, and even joined to open public datasets. In this operational talk, I will give an overview of BigQuery technology and the niche it fills, show some examples of using BigQuery, and give a concise catalog of biologically interesting datasets that are publicly available in BigQuery. Attendees should leave with an understanding of what BigQuery is, how it might be useful to their work, and how to gain access to the technology and data resources described.

Presenter:

Dr. Sean Davis

The National Institute of Allergy and Infectious Diseases (NIAID) is excited to advance discovery and innovation in infectious diseases and immune-mediated disorders research by leveraging data and data science approaches. Towards this end, NIAID will conduct a series of ideas and innovation webinars that bring together experts and stakeholders in data science, infectious diseases, immunology, and immune-mediated disorders.

Through the webinar series, participants will have the opportunity to provide insights into the current landscape of data science research and development, as well as offer ideas that promise to shape the future of data-driven immune-mediated and infectious disease research. The webinar series will serve as a platform for collaboration, idea generation, and networking among participants and generate foundational materials that is expected to inform the prospective role of data science in advancing NIAID’s mission.

Our expert panel will engage in a moderated discussion following short talks where they will define the traditional silos that may impede broad data sharing and highlight examples of where breaking those silos facilitated advancement that otherwise could not have been achieved.

Invited Speakers include Dr. Raphael Gottardo (Fred Hutchinson Cancer Research Center), Dr. Alexa McCray (Harvard Medical School), Dr. Ewan Harrison (University of Cambridge). Moderated by Dr. Stephany Duda (Vanderbilt University) and Dr. Purvesh Khatri (Stanford University).

please register to receive meeting link

REGISTRATION :  https://zoom.us/webinar/register/WN_jjHo246UQieRTKWtDdSHug

AGENDA : https://apply.hub.ki/datascience4niaid/

CONTACTS: Event Organizing Committee (NIAIDODSET@niaid.nih.gov)

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Session Description
Animal models are used to study the development and progression of diseases and to test new treatments. Model organisms are a subset of research organisms that serve as a proxy for understanding human biology. This introductory class will cover techniques on locating biomedical research articles, patents, NIH-funded research projects, genetic information, and print and electronic books related to animal models and model organisms. The class will also discuss the differences between animal models, research organisms, and model organisms, and will review requirements and resources for the NIH Model Organism Sharing Policy.