Published Works

Document Type

Conference Proceeding

Disciplines

Collection Development and Management | Scholarly Communication

Abstract

Data is the fuel of business research, but what kind of data do business researchers use, and how do they use it? In this presentation, we reveal the data sources and topics of hundreds of journal articles from two business schools - New York University Stern School of Business and the University of Connecticut School of Business. We analyze the full text of journal articles published between 2020 and 2022 to identify cited data sources and rank the most popular commercial, public, and open datasets. We highlight the top ten data sources for each school and each type of secondary data and show how they differ or overlap. We also examine how the data usage patterns of the two schools influence their research impact and visibility. Our presentation is based on the work of Lauren Reiter (2021), who studied the use and access of commercial data in academic business research. We aim to provide valuable insights for business librarians and researchers on the current and emerging trends of data-driven business research.

Comments

Brief & full list of identified datasets from our research: s.uconn.edu/3415422d

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