Digital Governance Hot Topics and Trends Research Data
by zhao, bin / Harvard Dataverse·Updated 2mo ago
Available on 1 platform
Sign in to view source links and access this dataset
Description
Research data supports the study "Digital Governance Hot Topics, Relational Structures, and Evolutionary Trends". It includes original measurements, processed data, and analysis scripts used to generate figures and statistical results. The dataset was authored by Zhao, Bin and last updated on May 11, 2026.
Use Cases
Analyze hot topics in digital governance based on the described raw measurements.
Study relational structures between governance concepts based on the processed data.
Replicate evolutionary trend analysis using the provided analysis scripts.
Perform text or network analysis on governance topics based on the study's implied data structure.
Strengths
Dataset includes three distinct components: raw data, processed data, and analysis scripts.
Data is structured to support a specific published research paper, providing context.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
Harvard Dataverse
Collection Method
Original measurements collected during a research study.
Freshness
Last updated 2026-05-11 14:22:51; freshness should be verified.
License is unknown; terms of use must be verified before application.