Interdisciplinarity Between Law, Economics, and Organizations in Brazilian Higher Education Institutions Dataset (IBLEOBHEI)
Description
This dataset documents the integration of Law and Economics concepts into academic courses across Law, Economics, and Business Administration. The dataset provides comprehensive information to support analysis of the representation of Law and Economics disciplines within graduate and stricto sensu programs at Brazilian higher education institutions. This data enables a systematic evaluation of access to interdisciplinary training in Law and Economics for both public and private sector administrators. Two criteria were used to select the analyzed higher education institutions. First, offer at least two graduate, strictly speaking, courses, e.g., Law and Economics, Law and Business Administration, or Economics and Business Administration. Second, theses and dissertations published in the CAPES catalog by April 2022. Based on these criteria, the data collected for this research encompasses course plans, syllabi, bibliographies, and other pedagogical documents from 912 subjects, totaling 428 courses, grouped into graduate and undergraduate programs in Law, Economics, and Business Administration from the 70 selected Brazilian higher education institutions. The content analysis focused on identifying key terms and influential authors in the field of Law and Economics, to systematically assess the degree of interdisciplinary integration in these courses.
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The investigation began on the websites of the 70 selected higher education institutions, focusing on the reading and analysis of the Content of all Curricular Components, with particular attention to the presence of the "Key Terms" and "Authors" most representative of the Law and Economics Analysis in the scientific community. The data collection process began by identifying and downloading relevant academic documents from institutional repositories and CAPES catalogs. Data processing involved cleaning and organizing the extracted metadata, standardizing institutional names, and ensuring consistency in field classification. The final dataset was compiled by merging records from both repositories, removing duplicates, and selecting only institutions with defenses in at least 2 or 3 of the targeted fields. This approach enabled comprehensive quantitative analysis and facilitated further bibliometric and curricular investigations. Each document was then imported into N-Vivo, where key terms and influential authors associated with Law and Economics were coded according to a predefined conceptual framework. Computational processing involved using N-Vivo's text mining and content analysis features to quantify the frequency and co-occurrence of these terms, enabling a granular assessment of interdisciplinary integration.