The Scientific Library is offering a Data Science Winter Webinar Series and Capstone Panel during February and March 2020 to help NCI at Frederick Researchers learn about key data
science concepts, including big data, the data lifecycle, data sharing and reuse, finding datasets, data workflows & pipelines, and more. Watch a series of six recorded webinars from
the Big Data to Knowledge (BD2K) Guide to the Fundamentals of Data Science Series, with discussions after each webinar
to connect these data science concepts to your current research at NCI at Frederick. A capstone panel discussion will be held at the end of the series with members of the Advanced
Biomedical Computational Science (ABCS) group to discuss their experiences with use of data science in biomedical research.
Each webinar will be shown 4 times each week, 2 times in Building 549 and 2 times at the ATRF, to accommodate various work locations and lunch schedules. The webinar series will begin
on Monday, February 3 and will conclude on Friday, March 13. You may bring your lunch to this program. Each webinar will run approximately 60 minutes, with a 10-minute discussion after.
The Data Science Winter Webinar Series will be shown on the main NCI-F campus on Mondays and Tuesdays, beginning at 11:00 a.m., in the Scientific Library’s Technology Training Lab
in Building 549.
The Data Science Winter Webinar Series will be shown at the ATRF on Thursdays and Fridays, beginning at 11:00 a.m., in the ATRF Conference Center, Room E-1108.
The Capstone Panel Discussion will be held on Tuesday, March 24, beginning at 12:00 p.m. in the Scientific Library’s Technology Training Lab in Building 549,
with online access through WebEx available. online access through WebEx available
Please check the schedule below for more information on each webinar:
Webinar 1:Introduction to Big Data and the Data Lifecycle (57 minutes, 44 seconds)
Webinar 2: Reproducibility (1 hour, 3 seconds)
Webinar 3: Open Science (1 hour, 1 minute, 45 seconds)
Webinar 4: Why Data Sharing & Reuse Are Hard To Do? (1 hour, 1 minute, 53 seconds)
Webinar 5: Finding & Accessing Datasets, Indexing & Identifiers (59 minutes, 43 seconds)
Webinar 6: Data Workflows & Pipelines (1 hour, 40 seconds)
Capstone Panel Discussion