Abstract
This case study describes the work of librarians at the Lippincott Library of the Wharton School at the University of Pennsylvania in developing a novel approach to supporting research through programming. Approached by researchers for assistance with a large-scale literature search that also involved text extraction, we utilized both traditional bibliographic indexes (Web of Science) and citation management tools (EndNote) and less-traditional tools like the programming language Python and a PDF extraction program (LA-PDFText) to approach different sections of the project. This article outlines that process and briefly discusses the potential for developing new services in business libraries around programmatic research support.
Highlights
In the fall of 2019, a Wharton faculty member approached the Lippincott Library for assistance with a large-scale literature search
The research team framed the project as a systematic review, but it became clear upon more discussion that they were not interested in evidence synthesis
We used the Web of Science (WoS) to identify bibliographic records for these papers, based largely on our intention to use the WoS features of saving and sharing information via EndNote Web to work with the research team
Summary
In the fall of 2019, a Wharton faculty member approached the Lippincott Library for assistance with a large-scale literature search. We developed an iterative process that leverages both manual and automated steps to incrementally collect and prune a selection of relevant papers, delivering the required text content to the research team. The research team provided a set of 54 seed papers from which to begin our search process.
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