现代情报2025，Vol.45Issue(7)：167-177,11.DOI:10.3969/j.issn.1008-0821.2025.07.015
科学数据开放共享中的大模型应用:前景、风险与治理
The Application of Large Models in Open Sharing of Scientific Data:Prospects,Risks,and Governance
摘要
Abstract
[Purpose/Significance]The study explores the application and limitations of large models in the open sha-ring of scientific data,with the aim of leveraging the technological empowerment effect of large models to assist in the digital-intelligent transformation and upgrading of open sharing of scientific data.[Method/Process]Combining data lifecycle theo-ry and stakeholder theory,it outlined the logical path of applying large models to the open sharing of scientific data,ana-lyzed the hidden risks and proposed governance measures.[Result/Conclusion]The study shows that firstly,large models can optimize the full lifecycle form of scientific data from the object dimension,and stimulate stakeholders'open sharing motivation from the subject dimension,thereby effectively driving the improvement of the quality and efficiency of scientific data open sharing;secondly,the application of large models brings data quality risks of dirty data and false data,data se-curity risks of internal threats and external attacks,and data rights protection risks of empowerment and disempowerment;finally,it should be established an agile governance pattern that includes adaptive governance concepts,resilient govern-ance mechanisms,and inclusive governance tools to balance the tension between promoting application and managing risks,and ensure the proper application of large models in the open sharing of scientific data.关键词
科学数据开放共享/大模型/开放数据/人工智能/敏捷治理Key words
open sharing of scientific data/large models/open data/AI/agile governance分类
社会科学引用本文复制引用
王正超..科学数据开放共享中的大模型应用:前景、风险与治理[J].现代情报,2025,45(7):167-177,11.基金项目
国家社会科学基金重点项目"适合我国的企业行政合规制度构建研究"(项目编号:23AFX011) （项目编号:23AFX011）
江苏省社会科学基金重点项目"数字时代行政机关公开负面信息研究"(项目编号:23SFX021). （项目编号:23SFX021）
