Abstract
This paper discusses the objectives, process, and outcomes of creating a digital dataset for a historical research project on the tribute system in Heilongjiang during the Qing dynasty (1644-1911). Relevant information from non-digital primary sources was compiled for the dataset to facilitate quantitative and qualitative analyses of the system's attributes. In the course of curating the data, the investigators addressed the challenges of defining a common set of variables and matching Chinese original data with English translations. They tested methods of learning to create datasets that could accommodate heterogeneous sources and share among multiple users.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callSimilar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
