The “Mapping German fiction in translation” dataset
Data collection, scope, and data quality
Bibliographic Data
| ID | 21245461 |
|---|---|
| Authors | Lisa Teichmann (0000-0001-8673-3480, Université de Montréal, corresponding author) |
| Year | 2025 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2025-04-22 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Analytics (JOURNAL) |
| Journal identifiers | ISSN: 2371-4549 • E-ISSN: 2371-4549 |
| Publisher | CA: Journal of Cultural Analytics (PUBLISHER) |
| DOI | 10.22148/001c.128010 |
| OpenAlex | W4409678925 |
| Language | EN |
| Citations received | 1 |
| References cited | 10 |
The “Mapping German fiction in translation” dataset consists of 35,972 translated titles of fiction originally published in German between 1980-2020 by 6,457 authors in 86 languages. It represents the first freely available dataset of bibliographic translation data extracted from the German National Library in 2021 and 2023. The dataset is part of a project that aims at mapping the geographic and linguistic traces of German fiction by means of translation. Visualization tools for geographic mapping and network analysis have been developed which are available in a [Github repository](https://github.com/lisateichmann/Mapping-German-Fiction-in-Translation). In this paper I document and evaluate the data extraction process, cataloguing and collection practices, and data quality, with special attention to the challenges and limitations of the applied approach
Data collection · Data quality · Data science · German · Information retrieval · Operations management · Statistics · Computer Science · Digital Humanities and Scholarship · Engineering · History · Mathematics · Natural Language Processing Techniques · Translation Studies and Practices
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |