Library Classification Systems: Exploring the Democratic Potential of Custom Approaches in German Libraries

Abstract:

This poster explores the democratic potential of custom classification systems in libraries, particularly in specialized fields such as art history and architecture. In certain libraries in Germany, including those at the University of Cologne and the Art and Museum Library, experts have developed systems tailored to the specific needs of their collections and users. Unlike standardized systems such as the Dewey Decimal Classification or the Library of Congress Classification, which offer global consistency but may face challenges when dealing with specialized topics, custom systems provide more relevant and precise classifications.

This project, which I have recently initiated, raises the question of whether custom classification systems in libraries contribute to a more democratic approach to knowledge organization.

Given my professional experience in libraries focused on art history and architectural history, I have chosen to study the classification systems used in these fields. It appears that librarians and information specialists in the mentioned institutions prioritize the needs of diverse user groups and strive to ensure optimal access to information through their customized classification approaches. These systems improve access to specialized knowledge by addressing users’ specific needs. Nevertheless, in this early stage of the research, I also aim to examine the potential challenges of these systems and evaluate whether they hinder a democratic library experience or, in fact, promote greater accessibility and inclusion. The study will also assess the strengths and limitations of custom classification systems in creating a democratic library environment.

My project aligns with the 2025 conference theme, “Uniting knowledge, building the future,” by exploring how custom classification systems in specialized libraries—such as those in art and architectural history—support more effective knowledge organization. These systems respond to the specific needs of collections and users, enabling more precise access to specialized information.

Custom systems allow libraries to unite knowledge in ways that standardized systems often cannot. They foster collaboration between libraries, academic institutions, and external partners, creating adaptable systems that align with users’ needs. Moreover, these systems emphasize access and inclusivity, ensuring that libraries remain vital spaces for learning and knowledge-sharing. Ultimately, this project demonstrates how custom classification can help shape a future in which knowledge is organized to best support users in a democratic and effective manner.

Of course, I am aware that the diversity of classification systems across libraries also brings challenges—one of the most significant being the difficulty of data exchange and interoperability between different information systems.

Finally, in the spirit of democratic engagement, I would like to invite you to share your opinion by simply indicating a green or red circle in response to the following question:

Do you think custom classification systems can lead to more democratic access to knowledge?