eprintid: 30919
rev_number: 25
eprint_status: archive
userid: 2006
dir: disk0/00/03/09/19
datestamp: 2021-12-10 12:25:04
lastmod: 2021-12-13 12:48:45
status_changed: 2021-12-10 12:25:04
type: preprint
metadata_visibility: show
creators_name: Arnold, Matthias
creators_name: Rudolph, Henrike
title: Network Data in the Early Chinese Periodicals Online Database (ECPO)
subjects: ddc-020
subjects: ddc-400
subjects: ddc-890
subjects: ddc-960
divisions: i-72140
divisions: i-728300
keywords: historische Netzwerke, republikzeitliches China, Netzwerkforschung, biographische Daten
cterms_swd: Netzwerkanalyse
cterms_swd: Datenbank
cterms_swd: China
note: Veröffentlichung ist geplant in "Journal of Historical Network Research" 2022
abstract: This paper introduces the Early Chinese Periodicals Online database (ECPO), based at the University of Heidelberg. It offers a short overview of the development of this research-driven database as it grew to incorporate additional projects. Today, the ECPO hosts a variety of textual and visual sources from the Republican period (1912-1949), as well as biographical data of twentieth-century academic and political elites. We aim to show how this database can be used and extended to pursue historical network research, even for scholars previously unfamiliar with digital infrastructures. The concluding part discusses privacy concerns in data curation and management, which are increasingly relevant for studies of twentieth-century actors and limit the potential to release and reuse these datasets, especially if they pertain to the People’s Republic of China’s political history.
date: 2021
id_scheme: DOI
id_number: 10.11588/heidok.00030919
ppn_swb: 1782005250
own_urn: urn:nbn:de:bsz:16-heidok-309196
language: eng
bibsort: ARNOLDMATTNETWORKDAT2021
full_text_status: public
place_of_pub: Heidelberg
citation:   Arnold, Matthias ; Rudolph, Henrike  (2021) Network Data in the Early Chinese Periodicals Online Database (ECPO).  [Preprint]     
document_url: https://archiv.ub.uni-heidelberg.de/volltextserver/30919/7/Arnold_Rudolph_Network_data_2021.pdf