Network with researchers and librarians at HS/HSL as we live stream the latest event in the NIH’s Guide to the Fundamentals of Data Science lecture series.
The lectures will cover the basics of data management, representation, computation, statistical inference, data modeling, and other topics relevant to “big data” biomedicine. The series seeks to provide essential training suitable for individuals at all levels of the biomedical community.
Every Friday through December
Noon to 1pm
Health Sciences & Human Services Library, Distance Ed Room (Lower Level)
Lecture schedule:
Friday, September 16 – Data Management Overview (Bill Hersh, Oregon Health Sciences)Friday, September 23 – Finding and Accessing Datasets, Indexing, and Identifiers (Lucila Ohno-Machado, UCSD)Friday, September 30 – Data Curation and Version Control (Pascale Gaudet, Swiss Institute of Bioinformatics)Friday, October 7 – Ontologies (Michel Dumontier, Stanford)- Friday, October 14 – Metadata Standards (Zachary Ives, Penn)
- Friday, October 21 – Provenance (Suzanne Sansone, Oxford)
- Friday, October 28 – Data Representation Overview (Anita Bandrowski, UCSD)
- Friday, November 4 – Databases and Data Warehouses, Data: Structures, Types, Integrations (Chaitan Baru, NSF)
- Friday, November 11 – No lecture, Veteran’s Day
- Friday, November 18 – Social Networking Data (TBD)
- Friday, November 25 – No lecture, Thanksgiving
- Friday, December 2 – Data wrangling, Normalization, Preprocessing (Joseph Picone, Temple)
- Friday, December 9 – Exploratory Data Analysis (Brian Caffo, Johns Hopkins)
- Friday, December 16 – Natural Language Processing (Noemie Elhadad, Columbia)