数据资产出资入股——合法性、隐患和风险优化
Invested in Data Assets—Legality, Hidden Dangers, and Risk Mitigation
DOI: 10.12677/ojls.2025.135146, PDF,   
作者: 李敬民:中国政法大学数据法治研究院,北京
关键词: 数据资产出资入股资本安全Data Assets Capital Contributions Capital Security
摘要: 数据资产具有不同于常规出资物的特性,而在数据产权制度尚未明晰的情况下,需要对数据资产被用以出资入股的合理性和合法性进行考察。数据资产符合公司法对出资形式的要求,其价值实现具有稳定性和持续性,可以被用以出资入股。但是,由于数据资产的价值评估方法存在争议、价值实现依赖于特定的应用场景、需要持续采取安全措施,公司须对数据资产出资入股采取必要的合理性判断和风险预防措施。为符合资本安全的要求,公司接受数据资产需要对出资义务是否完全履行进行评估和监督,建立健全公司内部的安全保障机制,从而使得公司可以对数据资产兼顾安全利用和有效利用,从而实现数据资源的高效流通。
Abstract: Data assets have different characteristics from conventional capital contributions, and in the absence of a clear data property rights system, it is necessary to examine the rationality and legitimacy of data assets being used for capital contribution and shares. Data assets meet the requirements of the Company Law for the form of capital contribution, and their value realization is stable and sustainable, and can be used to contribute capital and shares. However, due to the controversy over the valuation method of data assets, the dependence on specific application scenarios for value realization, and the need to continuously take security measures, the company must take necessary reasonable judgment and risk prevention measures for the investment of data assets. In order to meet the requirements of capital security, the company needs to evaluate and supervise whether the capital contribution obligation is fully fulfilled when accepting data assets, and establish and improve the internal security guarantee mechanism of the company, so that the company can take into account the safe and effective use of data assets, so as to realize the efficient circulation of data resources.
文章引用:李敬民. 数据资产出资入股——合法性、隐患和风险优化[J]. 法学, 2025, 13(5): 1029-1036. https://doi.org/10.12677/ojls.2025.135146

参考文献

[1] Oppenheim, C. (1998) Valuing Information Assets in British Companies. Business Information Review, 15, 209-214. [Google Scholar] [CrossRef
[2] KPMG/IMPACT (1994) Information as an Asset: The Board Agenda. KPMG/IMPACT Group.
[3] Waddington, P. (1995) Information as an Asset: The Invisible Goldmine. Business Information Review, 12, 26-36. [Google Scholar] [CrossRef
[4] Nimmer, R.T. and Krauthaus, P.A. (1992) Information as a Commodity: New Imperatives of Commercial Law. Law and Contemporary Problems, 55, 103-130. [Google Scholar] [CrossRef
[5] 刘冰. 论数据资产化的法律障碍及破解路径[J]. 中国法律评论, 2023, 50(2): 51-63.
[6] 张朔, 赵晟骜, 严若婷. 企业数据资产价值实现及金融支持模式研究[J]. 西南金融, 2024(10): 42-52.
[7] 大数据技术标准推进委员会2022年发布的数据资产管理实践白皮书(6.0版) [EB/OL].
http://221.179.172.81/images/20230104/12651672818383015.pdf, 2025-03-01.
[8] 富兰克∙H∙奈特. 风险不确定性和利润[M]. 王宇, 王文玉, 译. 北京: 中国人民大学出版社, 2005.
[9] 阿里研究院, 德勤. 数据资产化之路: 数据资产的估值与行业实践[EB/OL].
https://mp.weixin.qq.com/s/WVVPtdBFNvK0F7G3OcfsVA, 2025-03-01.
[10] 李成熙, 文庭孝. 我国大数据交易盈利模式研究[J]. 情报杂志, 2020, 39(3): 179-186.
[11] 朱锦清. 公司法学[M]. 北京: 清华大学出版社, 2019.
[12] (2013) People Browsr, Inc. et al. v. Twitter, Inc. 2013 WL 843032 (N. D. Cal. 2013).
https://www.courtlistener.com/docket/4179742/peoplebrowsr-inc-v-twitter-inc
[13] 罗玫, 李金璞, 汤珂. 企业数据资产化: 会计确认与价值评估[J]. 清华大学学报(哲学社会科学版), 2023, 38(5): 195-209, 226.
[14] 纪海龙. 数据的私法定位与保护[J]. 法学研究, 2018, 40(6): 72-91.
[15] 谢尧雯. 个人信息保护企业合规规制的建构[J]. 法商研究, 2024, 41(2): 57-71.
[16] Balazinska, M., Howe, B. and Suciu, D. (2011) Data Markets in the Cloud: An Opportunity for the Database Community. Proceedings of the VLDB Endowment, 4, 1482-1485. [Google Scholar] [CrossRef
[17] 江必新, 刘倬全. 论数字伦理体系的建构[J]. 中南大学学报(社会科学版), 2024, 30(1): 38-49.
[18] 刘岳川. 科技创新的法律规制[J]. 华东政法大学学报, 2023, 26(3): 37-46.