Commerce in Data and the Dynamically Limited Alienability Rule

Author:

Janeček Václav,Malgieri Gianclaudio

Abstract

AbstractCommerce in some data is, and should be, limited by the law because some data embody values and interests—in particular, human dignity—that may be detrimentally affected by trade. In this Article, drawing on the Roman law principles regarding res extra commercium, we investigate the example of personal data as regulated under the EU Charter and the GDPR. We observe that transactions in personal data are not forbidden but subject to what we call a dynamically limited alienability rule. This rule is based on two dynamic variables: The nature of data and the legal basis for commercially trading such data at a primary or secondary level. Accordingly, in order to deal with such dynamism and the uncertainty it poses, we propose a general two-stage reasonableness test that should help legal practitioners, judges, and lawmakers to consider when trade in data is illicit and who, if anyone, shall be held responsible for this mischief. Finally, we show how the two-stage test and the limited alienability rule can advance European contract law and help enforce legal principles associated with such data extra commercium in automated and autonomous data trading systems.

Publisher

Cambridge University Press (CUP)

Subject

Law

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Closing the Legal-Technical Gap in Digital Trade;Law and Business;2024-06-01

2. Will the real data sovereign please stand up? An EU policy response to sovereignty in data spaces;International Journal of Law and Information Technology;2024

3. Data protection governance framework: A silver bullet for blockchain-enabled applications;Procedia Computer Science;2023

4. Priceless data:;Computer Law & Security Review;2022-07

5. Data Ownership (and Succession Law);Facebook and the (EU) Law;2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3