Informace o publikaci
Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence
| Autoři | |
|---|---|
| Rok publikování | 2025 |
| Druh | Další prezentace na konferencích |
| Fakulta / Pracoviště MU | |
| Citace | |
| Popis | In the current presentation, I aim to showcase my technical and methodological approach to the analysis of the reception and transformation of Eurasianism during the Cold War. Specifically, I will point my attention to G. V. Vernadsky (1887–1973) – the former member of the interwar Eurasianist movement who emigrated to the U.S. in the late 1920s and became one of the most established scholars in the field of U.S. Slavic Studies. The research is based on the implementation of open-source digital tools for advanced data processing and analysis of unpublished archival documents from the Slavonic Library in Prague, the Anna Akhmatova Museum in Saint Petersburg, and the Bakhmeteff Archive in New York. The main aim is to present the benefits and shortcomings of the unified technical and methodological workflow for data analysis, which includes HTR/OCR processing of archival scans (Tesseract), metadata categorization (Arkindex, Zotero), research logs (Logseq), and graph visualizations of G. V. Vernadsky’s professional network and intellectual development after WWII (NodeGoat, Gephi). |