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A dataset of study program availability in German higher education between 1971 and 1996.

Boris Thome1, Friederike Hertweck2, Serife Yasar2,3

  • 1Heinrich-Heine University Düsseldorf, Chair of Databases and Information Systems, Düsseldorf, D-40225, Germany. boris.thome@hhu.de.

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Summary

This study introduces the RWI-UNI-SUBJECTS dataset, documenting German higher education study programs from 1971-1996. This resource enables research on education, innovation, and economic development.

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Area of Science:

  • Education Science
  • Economics
  • Sociology

Background:

  • Educational systems are crucial for human capital, technological advancement, and economic growth.
  • Higher education drives innovation, with diverse fields contributing uniquely.
  • A gap existed in historical data on academic field evolution within national higher education systems.

Purpose of the Study:

  • To introduce the RWI-UNI-SUBJECTS dataset, the first comprehensive collection of study opportunities in German higher education institutions.
  • To cover the period from 1971 to 1996, providing a historical perspective on academic field development.
  • To facilitate interdisciplinary research on education, innovation, and economic development.

Main Methods:

  • Data extracted from annual study guides of the German Federal Employment Agency (1971-1996).
  • A custom-developed computer vision algorithm was employed for data extraction.
  • Dataset enriched with administrative codes for fields, institutions, and districts for integration with other data sources.

Main Results:

  • The RWI-UNI-SUBJECTS dataset comprises 105,307 study programs from German higher education institutions between 1971 and 1996.
  • Provides a detailed historical overview of the landscape of academic fields offered.
  • Enables linkage with social security data, student statistics, and the National Educational Panel Study (NEPS).

Conclusions:

  • The RWI-UNI-SUBJECTS dataset addresses a critical data gap in the study of educational systems.
  • It serves as a valuable foundation for analyzing the long-term evolution of academic fields and their impact.
  • Facilitates new avenues for research at the intersection of education, innovation, and economic growth.