| 英文摘要 |
Digital governance is becoming central to public-sector policymaking, and labor ad-ministrations must respond to growing demands for transparent, timely, and participatory labor data governance. This study develops a public participation strategy for labor admin¬istration data governance by constructing an evidence-based, segmented, and institutionally responsive framework. Methods include (1) a literature review and analysis of domestic and international data-governance cases to identify core dimensions—citizen participation, data integration, openness/transparency, and privacy protection—and (2) a questionnaire survey and stakeholder analysis covering three groups: workers/general public (n=1,500), public institutions (n=400), and trade unions (n=100), providing an empirically grounded basis for policy design. International experience suggests that effective data governance depends on strategic management, technological application, and stakeholder engagement. The UK, Singapore, and Denmark emphasize clear policy frameworks, data standardization, and cross-agency collaboration, while leveraging technologies to enhance security and usability, supported by public–private partnerships and civic participation mechanisms. Results reveal marked stakeholder differences. About half of workers/the public are aware of online government labor data; 29% report difficulty finding relevant data, 21.5% find it hard to read, and 60.6% rate it as relatively credible. In public institutions, awareness is about 60%, with 90.9% viewing data as relatively credible and 85.5% as relatively complete. Unions show stronger engagement: 82% have used labor insurance data, and 76%/71% are willing to join policy discussions/surveys. Yet only about 45.9% in each group believe online participation has a significant influence on labor policy, indicating structural weaknesses in feedback loops and policy linkage. This study recommends a dedicated governance framework and action plan to strengthen data inventory, integration, security, and legal safeguards, enhance user confidence in privacy protection, and build a labor data system that balances privacy, evidence-based decision-mak¬ing, and public–private collaboration through open data and user-friendly platforms. |