Brian Wingenroth

Data Science Lead for the Opioid Industry Documents Archive (OIDA) at the Johns Hopkins Bloomberg School of Public Health

Brian Wingenroth is the Data Science Lead for the Opioid Industry Documents

Archive (OIDA) at the Johns Hopkins Bloomberg School of Public Health. OIDA, a

collaborative effort between the University of California, San Francisco (UCSF)

Library and Johns Hopkins University, is dedicated to preserving and offering

public access to corporate documents made public through opioid litigation and

other sources. These documents provide invaluable insight into the workings of

the opioid industry during the height of the U.S. opioid crisis. In his role, Brian

drives the development of innovative tools and products that enhance the

archive, including the image collection, new methods for analyzing email threads,

and advancements in metadata extraction. Before joining OIDA, Brian was a

Research Software Engineer at the University of Maryland, College Park where he

contributed to the Global Terrorism Database (GTD). Brian joined the GTD team in

2012 to develop the data collection infrastructure and tools to support collection

and dissemination of their open data set. Prior to that, he worked as a software

engineer and solutions architect for Project MUSE at the Johns Hopkins University

Press and spent time at the Johns Hopkins Sheridan Libraries working in what was

then the Digital Knowledge Center (now the Digital Research and Curation

Center). He also serves on the Technical Advisory Board for the Qualitative Data

Repository (QDR), a dedicated archive for storing and sharing digital data

generated or collected through qualitative and multi-method research in the

social sciences and related disciplines. Brian earned his B.S. in computer science

from Johns Hopkins University.

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