Creating an open-source data processing pipeline for archival
research – Lessons learned from the case study on G. V.
Vernadsky’s correspondence

k 2025

Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence

RACYN, Michal

Základní údaje

Originální název

Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence

Autoři

RACYN, Michal

Vydání

Research Software Asia Australia Conference (RSAA25), 2025

Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Austrálie

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Označené pro přenos do RIV

Organizační jednotka

Filozofická fakulta

Klíčová slova česky

digital humanities; open-source; archivní výzkum; datová analýza; Slavistika; Cold War

Klíčová slova anglicky

digital humanities; open-source; archival research; data analysis; Slavic Studies; Cold War

Štítky

digital humanities

Příznaky

Mezinárodní význam

Změněno: 30. 9. 2025 15:24, Mgr. Michal Racyn, Ph.D.

Anotace

V originále

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 The research is based on the implementation of open-source digital tools for advanced data processing and analysis of unpublished archival documents from the Slavonic Library in Prague, the Anna Akhmatova Museum in Saint Petersburg, and the Bakhmeteff Archive in New York.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).

Citovat

RACYN, Michal. Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence. In Research Software Asia Australia Conference (RSAA25). 2025.

@proceedings{2522419,
   author = {Racyn, Michal},
   booktitle = {Research Software Asia Australia Conference (RSAA25)},
   keywords = {digital humanities; open-source; archival research; data analysis; Slavic Studies; Cold War},
   language = {eng},
   title = {Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence},
   url = {https://rseaa.org/rsaa25_program#creating-an-open-source-data-processing-pipeline-for-archival-research-lessons-learned-from-the-case-study-on-g-v-vernadskys-correspondence},
   year = {2025}
}

TY  - CONF
ID  - 2522419
AU  - Racyn, Michal
PY  - 2025
TI  - Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence
KW  - digital humanities
KW  - open-source
KW  - archival research
KW  - data analysis
KW  - Slavic Studies
KW  - Cold War
UR  - https://rseaa.org/rsaa25_program#creating-an-open-source-data-processing-pipeline-for-archival-research-lessons-learned-from-the-case-study-on-g-v-vernadskys-correspondence
N2  - 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).
ER  -

RACYN, Michal. Creating an open-source data processing pipeline for archival research – Lessons learned from the case study on G. V. Vernadsky’s correspondence. In \textit{Research Software Asia Australia Conference (RSAA25)}. 2025.

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