Session Talks: An Introduction to Finding Data across Multiple Disciplines

Speakers: Jim Gillispie, Social Science Librarian, Johns Hopkins University Sheridan Libraries; Katy Troeschel, Technology & Entrepreneurship Librarian, Johns Hopkins University Sheridan Libraries; Rob Wright, Basic Science Informationist, Johns Hopkins University Welch Medical Library

We invite experts from Sheridan Libraries and Welch Medical Library to present how to search and access data in various academic disciplines.

Business Location Data via the Sheridan Libraries (Jim Gillispie)
When we think about places in our local community what often comes to mind are those anchoring businesses where we shop and connect with our neighbors. In studying communities, researchers recognize that business type and location have the potential to add or detract from the vitality of the surrounding area. With the availability of library licensed business location databases, it is now easier than ever to take a closer look at changes in business patterns over time and then visualize that business data in combination with other demographic factors. This presentation will focus on business location sources readily available via the Sheridan Libraries.

Data for Your Business Plan or Pitch (Katy Troeschel)
Want to see if your business idea or invention make sense? Learn where to find the stats that demonstrate your market size and value for your idea. Then we’ll explore tools and templates to help you compile the information you find.

A Brief Introduction to dbGaP: An Archive of Genotype/Phenotype Data from NCBI (Rob Wright)
Using the listing of NIH-supported data repositories as a starting point, I’ll focus on the Database of Genotypes and Phenotypes (dbGaP), which is a core repository for human genotype/phenotype studies. I’ll describe dbGaP, quickly work through a searching example, and highlight the contents of a dbGaP record, including the section on requesting controlled-access genomics data.

This is a part of the Love Data Week 2024 events. Check the full event schedule and register here https://dataservices.library.jhu.edu/love-data-week/schedule/.