04 

Commercial Data

 Quality Issues

Thursday April 27, 2023

2:00-3:30 PM EST | 1:00-2:30 PM CST | 12:00-1:30 PM MST | 11:00-12:30 PM PST

Description

How do we decide which commercial sources to acquire? How can we inform our researchers of challenges with the data?  Todd Hines (Stanford University) and Grace Liu (West Chester University) will share their expert findings on the world of expensive financial data. Patrick McLaughlin will discuss how the USDA uses commercial data to help inform government decisions. Stephanie Tulley will explain how she helps her researchers at the Federal Reserve Bank of Cleveland who play a key role in monetary policy and help monitor regional economic conditions.

Session Speakers

Todd Hines

Research Manager and Business Research Librarian

Stanford University GSB Library

Todd Hines is the Research Manager and Business Research Librarian at Stanford University’s Graduate School of Business. He is a past chair of the Business Reference and Services Section (BRASS) of the American Library Association.  He has been providing business and economics research support in academic libraries for over 20 years and his industry experience includes working in law, a private investigative firm and as a Certified Public Accountant. He received his MSLS from Catholic University and an MBA from George Mason University. 

Grace Liu

Assistant Professor, Business Librarian, West Chester University

Grace Liu is an Assistant Professor, Business Librarian at West Chester University. One of her research interests has been focused on exploring data quality issues. In 2020, she published an article on  business and finance data quality issues in the Journal of Business and Finance Librarianship. Inspired by this research, she initiated this IMLS grant project along with other team members with the objective of raising awareness about data quality issues among librarians and enhancing the capacity of librarians to understand and address data quality challenges and cultivate data-literate citizens.

Patrick McLaughlin

USDA Agricultural Economist

Patrick W. McLaughlin is a Research Agricultural Economist in the Food Economics Division of the USDA, Economic Research Service. He leads the team of economists managing and conducting research with the household and retail scanner data that ERS acquires from Information Resources, Inc. (IRI; now Circana). Patrick holds a Ph.D. in Agricultural and Resource Economics from the University of California, Davis.


Stephanie Tulley

Senior Data Librarian, Federal Reserve Bank of Cleveland

Stephanie Tulley is a Senior Data Librarian for the Federal Reserve Bank of Cleveland, where she supports economists, research analysts, and data scientists in obtaining data to enable their scholarly research and monetary policy work. She manages data for the Federal Reserve Bank of Cleveland Research Department and leads complex contract negotiations for resources used throughout the Federal Reserve System. Prior to her time in the Federal Reserve System, Stephanie was in academia serving the community of the University of California, Santa Barbara as the Economics, Business, and Social Science Data Librarian. 

Presentation Slide

Combined2023.04.27_Session04.pdf

Webinar Recording

Audio and Transcription

Session 4_Cleaned Transcription
Session 4_Cleaned Transcription.pdf

Supplemental Material

Grace Liu. (2020.) Data quality problems troubling business and financial researchers: A literature review and synthetic analysis, Journal of Business & Finance Librarianship, 25:3-4, 315-371, DOI: 10.1080/08963568.2020.1847555

Full Text Available at: https://digitalcommons.wcupa.edu/lib_facpub/13/ 

57104_tb-1942_Summary.pdf
57105_tb-1942_Full Report.pdf
Session 4 7-Supplemental Materials Data Acquisition - Kalinowski).pdf


The Logistics, Challenges, and Benefits of Acquiring Research Datasets in an Academic Library was prepared by Alice Kalinowski (Manager of Public Services at the Stanford GSB Library) for the Beyond the Numbers 2023 Conference. We appreciate her sharing this presentation with the IMLS Data Quality project as supplementary material.