Project description

Information science is an especially heterogeneous and multidisciplinary academic discipline whose thematic boundaries and focal points are constantly evolving as the result of public requirements and the influence of a technological imperative. These circumstances make it considerably more difficult to identify dissertations relevant to the discipline using automated processes based on existing classification systems such as Dewey decimal classification.

In order to solve this problem, an approach was to be developed that went beyond the existing metadata to incorporate other attributes – e.g. institutes or contributors from the requisite full texts or online sources – for purposes of identification. The aim of the project was the automated creation of a corpus of dissertations relevant to the field of information science and a subsequent descriptive analysis of thematic trends in this discipline.

The project was proposed and realised by Leon Munz.

Results and further information

Project report

Duration

September 2022 - February 2023

Contact

DH-Stipendien@dnb.de