Data Science Winter Webinar Series and Capstone Panel

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)

Monday, February 3, & Tuesday, February 4; beginning at 11:00 a.m. Scientific Library’s Technology Training Lab, Building 549 Thursday, February 6, & Friday, February 7; beginning at 11:00 a.m. ATRF Conference Center, Room E-1108

Description: Dr. Mark Musen from Stanford University highlights major themes in the management and use of scientific data, gives an overview of the data life cycle, and describes ways in which investigators can ensure that their data will have maximum benefit to the scientific community.

Webinar 2: Reproducibility (1 hour, 3 seconds)

Monday, February 10, & Tuesday, February 11; beginning at 11:00 a.m. Scientific Library’s Technology Training Lab, Building 549 Thursday, February 13, & Friday, February 14; beginning at 11:00 a.m. ATRF Conference Center, Room E-1108

Description: John Ioannidis from Stanford University discusses what reproducibility means, separating reproducibility of methods, of results, and of inferences. He also provides an overview for empirical data on reproducibility across different scientific disciplines and discusses different methods and practices that have been proposed to improve reproducibility.

Webinar 3: Open Science (1 hour, 1 minute, 45 seconds)

Tuesday, February 18, & Wednesday, February 19 (Due to President’s Day); beginning at 11:00 a.m. Scientific Library’s Technology Training Lab, Building 549 Thursday, February 20, & Friday, February 21; beginning at 11:00 a.m. ATRF Conference Center, Room E-1108

Description: Brian Nosek, Executive Director and Co-Founder of Center for Open Science (COS) and Professor of University of Virginia, discusses barriers to open science and methods for improving openness and reproducibility in scientific research.

Webinar 4: Why Data Sharing & Reuse Are Hard To Do? (1 hour, 1 minute, 53 seconds)

Monday, February 24, & Tuesday, February 25; beginning at 11:00 a.m. Scientific Library’s Technology Training Lab, Building 549 Thursday, February 27, & Friday, February 28; beginning at 11:00 a.m. ATRF Conference Center, Room E-1108

Description: Distinguished Professor Dr. Christine Borgman and Ph. D Candidate Irene Pasquetto of UCLA Informatics Studies compare data sharing and reuse challenges faced by researchers in life sciences, oceanography, astronomy, molecular biology, and genomics.

Webinar 5: Finding & Accessing Datasets, Indexing & Identifiers (59 minutes, 43 seconds)

Monday, March 2, & Tuesday, March 3; beginning at 11:00 a.m. Scientific Library’s Technology Training Lab, Building 549 Thursday, March 5, & Friday, March 6; beginning at 11:00 a.m. ATRF Conference Center, Room E-1108

Description: Dr. Lucila Ohno-Machado from the University of California San Diego discusses the development of the biomedical data discovery index DataMed.org?.

Webinar 6: Data Workflows & Pipelines (1 hour, 40 seconds)

Monday, March 9, & Tuesday, March 10; beginning at 11:00 a.m. Scientific Library’s Technology Training Lab, Building 549 Thursday, March 12, & Friday, March 13; beginning at 11:00 a.m. ATRF Conference Center, Room E-1108

Description: Dr. Rommie Amaro from University of California, San Diego covers what scientific workflows and pipeline are, how they can be useful or even critical to science and big data management and presents relevant examples across biomedical research areas.

Capstone Panel Discussion

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 when available.

Description: Members of the Advanced Biomedical Computational Science (ABCS) group will discuss their experiences with use of data science in biomedical research.