CGED-Q JSL 1760-1798 Draft Release

We have made available a draft release of the China Government Employee Dataset-Qing (CGED-Q) Jinshenlu (JSL) 1760-1798 data at the HKUST Dataspace:

https://dataspace.hkust.edu.hk/dataset.xhtml?persistentId=doi:10.14711/dataset/E9GKRS

We expect to release a final version later in the year reflected corrections to any problems identified by users.

We are grateful to Xue Qing and Bijia Chen who spotted issues with the data before it was released.

CGED-Q Research Seminar and Training Workshop at Central China Normal University, July 28-August 3, 2024

In conjunction with the next public release of data from the CGED-Q JSL, there will be a research conference and training workshop at Central China Normal University July 28-August 3 in conjunction with the next public release of data from the China Government Employee Dataset-Qing (CGED_Q) Jinshenlu. The conference will be July 29 and July 30. Papers that make use of Jinshenlu and related sources are welcome. The training workshop will be July 31-August 2.

Here is the announcement of the research conference in Chinese:

https://mp.weixin.qq.com/s/_4A0DO6hglCS2iHW2xscQA

Here is the announcement for the training workshop in Chinese:

https://mp.weixin.qq.com/s/XTGWh6r0dWxYUmJAEUtZWA

Workshop on Chinese Historical Databases: Sources, Methods, Prospects held at HKUST, January 11-12, 2024

Participants at the workshop Chiense Historical DatabasesL Sources, Methods, Prospects held at HKUST on January 11 and 12, 2024

Cameron Campbell organized a meeting on Chinese Historical Databases: Sources, Methods, Prospects on January 11 and 12, 2024 at the Hong Kong University of Science and Technology.

The meeting is one in a series of activities intended to promote the development of research infrastructure for studying China’s past organized under the auspices of and with support from the RGC Areas of Excellence Project Quantitative History of China (Chen Zhiwu PI). Staff from the HKUST School of Humanities and Social Sciences, including Lee-Campbell Group RA Shengbin Wei, provided logistical support.

The meeting brought together historians and social scientists constructing databases suited for the quantitative analysis of Chinese history. Participants from Hong Kong, mainland China, and Europe introduced their databases. These included projects that were already complete, others were in progress, and some were in the planning stages. Presentations and discussion focused not only on the content of the databases and prospects for analysis, but nuts and bolts issues related to the construction, preservation, documentation and dissemination of the databases. Several presentations covered techniques being used to automate the creation of databases, including OCR, tokenization, entity recognition, and record linkage.

Lee-Campbell Group members including Cameron Campbell, Dong Hao, Gao Shuaqi, Chen Jun, Wu Yibei, James Lee, Hou Yueran and Matt Noellert made presentations introducing their databases.

In addition to the presenters, other faculty and students attended as observers.

The meeting concluded with the development of plans for training workshops for historians to help them learn how to construct databases and make use of existing ones.

Christian Henriot has written a more detailed discussion of the Chinese historical databases meeting at the ENEP website.

Opening

Introductory Remarks by Chen Zhiwu, Cameron Campbell

Session 1 – New Approaches

Chair: Cameron Campbell

Lin Zhan
Content and Value of the Chinese Genealogy Database

Guenther Lomas
The Process of Building the Chinese Genealogy Database

Chen Yuqi
Geocoding the Past World: Unearthing Coordinates of Early China from Texts Using Large Language Models

Session 2 – Geographic, Economic, and Other Context

Chair: Chen Zhiwu

Hu Heng
清史时空综合数据平台-清史地理信息系统和基于地方志的清代职官信息集成数据库

Ma Debin
Quantifying Living Standards, an Overview

Ziang Liu
Early Modern Wages: Data and Limits

Gao Shuaiqi
清代危机(灾害)量化数据的应用与局限

Session 3  – Late Imperial China I

Chair: James Lee

Ma Min
基于近代传教士档案的人物数据库设想

Dong Hao
East Asian Population Databases

Christian Henriot
Modern China Historical Database: Current Status and Future Prospects

Session 4 – Late Imperial China II

Chair: Debin Ma

Cameron Campbell
CGED-Q: Current Status and Future Plans

Chen Jun
CGED-Q ZSBL: Military Officials

Fu Haiyan
近代中国寺庙登记表数据库及初步的研究

Session 5 – ROC

Chair: Dong Hao

Yibei Wu
Late Qing and Beiyang Student Records, and Beiyang and ROC Officials

Hou Yueran
Construction of Occupational Database of Tsinghua Students Studying in America with Boxer Indemnity Fund (1909-1944)

Lik Hang Tsui
Ink Trails: Correspondence and Connections in a Dataset of Epistolary Manuscripts from Song China

Session 6 – ROC and PRC

Chair: Christian Henriot

Matthew Noellert
Lee-Campbell Group Post-1949 Rural Datasets

James Lee
Lee-Campbell Group PRC and ROC Educational, Academic, and Professional Datasets

Chen Ting
Post-1949 County Gazetteers

Pierre Landry
China’s provincial CCP élite since 1921

Future Directions

Panel with remarks by Cameron Campbell, Zhiwu Chen, Christian Henriot, and James Z. Lee

Participant Roster

CampbellCameron康文林
ChenJun陈俊
ChenTing陈婷
ChenYuqi陈钰琪
ChenZhiwu陈志武
DongHao董浩
FuHaiyan付海晏
GaoShuaiqi高帅奇
HenriotChristian安克强
HouYueran侯玥然
HuHeng胡恒
HuCunlu胡存璐
KanHongliu阚红柳
LandryPierre李磊
LeeJames李中清
LinZhan林展
LiuZiang刘紫昂
LomasGuenther罗孟德
MaDebin马德斌
MaMin马敏
NoellertMatthew倪志宏
TsuiLik Hang徐力恒
XueQin薛勤
WeiShengbin韦圣彬
YangYang杨阳
YuBruce虞越
ZhangLawrence张乐翔
WuYibei吴艺贝
BethKwok郭靖琦
MilesSteven麦哲维

Tutorial for using R to analyze the CGED-Q JSL Public Releases

Chen Jun, my MA student at Central China Normal University, has shared slides and sample code he produced to help anyone planning to use R to analyze the CGED-Q JSL public releases. The materials are all in Chinese. They introduce how to import the public data into R, create and transform variables, process strings to create variables, and tabulate and graph results. We hope that this will be useful to users of the data.

New paper by others using CMGPD-LN

We were pleased to learn that Yu Bai, Yanjun Li, and Pak Hong Lam had just published a paper “Quantity-quality trade-off in Northeast China during the Qing dynasty” in the Journal of Population Economics using the public release of the CMGPD-LN! We hope their paper along with other recent publications by others using the dataset will inspire others to use it.

Here is a link to their paper: https://link.springer.com/article/10.1007/s00148-022-00933-x

We are eternally grateful for the support from NICHHD that allowed us to prepare the CMGPD-LN for release, and to ICPSR for hosting the dataset.

CGED-Q JSL receives Best Project Award (最佳项目奖 ) at China Digital Humanities 2022 Annual Meeting

We are pleased to report that the China Government Employee-Qing (CGED-Q) Jinshenlu (JSL) dataset was one of four to receive the Best Project Award (最佳项目奖 ) at the China Digital Humanities 2022 Annual Meeting held at Renmin University on November 26 and 27.

For more information about the award, please see the final report of the CDH 2022 meeting.

For more information about the CGED-Q JSL, please see the project page at the Lee-Campbell Group Website.

CGED-Q Jinshenlu 1850-1864 Public Release now available

We just made available for download the China Government Employee Database-Qing (CGED-Q) Jinshenlu 1850-1864 Public Release.This release consists of 341,092 quarterly records of 37,632 (by our linkage) officials who served between 1850 to 1864. The information is drawn from 26 quarterly editions.

We chose 1850-1864 as the next period for a release since it includes the Taiping Rebellion, a major event in 19th century Qing history.

Each record includes information about the post, and if it was occupied, the holder, including their name, province and county of origin, qualification, and other information.

Together with our previous release of 686,945 records for the period 1900-1912, we have now released publicly more than 1,000,000 records from the CGED-Q.

The 1850-1864 and 1900-1912 releases may be downloaded at the HKUST Dataspace, the Harvard Dataverse, and the mirror site at Renmin University Institute for Qing History:

HKUST Dataspace

https://dataspace.ust.hk/dataset.xhtml?persistentId=doi:10.14711/dataset/E9GKRS

Harvard Dataverse

https://doi.org/10.7910/DVN/GMQWVZ

Renmin University Institute for Qing History

http://39.96.59.69/DownloadFile/DLFile