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ITIF:2023探索数据共享模式推动数据效益最大化报告(英文版)(14页).pdf

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1、 CENTER FOR DATA INNOVATION 1 Exploring Data-Sharing Models to Maximize Benefits From Data By Gillian Diebold|October 16,2023 Data-driven innovation has the potential to be a massive force for progress.Data sharing enables organizations to increase the utility and value of the data they control and

2、gain access to additional data controlled by others.This report evaluates the advantages and disadvantages of six common data-sharing models and offers recommendations for policymakers to promote greater uptake of these data-sharing models to maximize the economic and social benefits of data in the

3、United States.Individuals and organizations use data to make better decisions and obtain better insights,leading to benefits in a broad range of areas.1 But to use data to its fullest potential,individuals and organizations need to be able to combine,augment,and analyze information from different so

4、urces.In the private sector,data sharing enables businesses to innovate with partners,such as tackling common challenges and providing better experiences to consumers.In the public sector,it enables government agencies to build on information collected by other organizations to make better decisions

5、,offer personalized services,engage in evidence-based policymaking,and glean new insights.And among academics and nonprofit organizations,data sharing advances scientific breakthroughs and enables data for social good.But attaining these benefits requires enabling data sharing to its fullest potenti

6、al so that those who can use data productively have access to it.Unlike most resources,such as land or oil,data is nonrivalrous,meaning the supply of data is not reduced when others use it.Data can be used multiple times and in multiple ways by various entities without being depleted.2 While many or

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本文主要探讨了六种数据共享模型,旨在最大化数据在美国的经济和社会效益。首先,数据共享允许组织增加其控制的数据的效用和价值,并获取其他组织控制的数据。报告评估了六种常见数据共享模型的优缺点,并为政策制定者提供了促进这些模型更广泛采用的建议。 1. 数据共享伙伴关系:涉及不同实体的协作努力,如学术机构、研究组织、行业合作伙伴、个人消费者和政府机构,以共享和交换数据,目的是进行研究、合作开发新产品和增强基于证据的决策。 2. 数据联盟:允许组织为小组的利益汇集其数据。数据联盟可以解决特定问题或进行一般和持续的信息交换。 3. 数据信托:一种数据治理框架,代表个人和组织管理、保护和共享数据,以达成共识目的。数据信托通过独立中介机构(受托人)来管理共享决策。 4. 数据合作社:一种自下而上的数据治理形式,个人自愿汇集其数据,与私营公司和其他实体集体谈判。 报告建议政策制定者促进数据共享伙伴关系,通过制定合同模板来简化数据共享过程。同时,政策制定者应调查和确定跨部门数据联盟的机会,以促进更广泛和多样化的数据源。此外,建议在特定部门(如医疗保健、交通、教育和环境研究)实施部门特定的数据信托。最后,政策制定者应支持数据合作社,以帮助个人集体谈判其数据的好处。
数据共享模式有哪些优势和劣势? 数据信托如何促进数据共享? 数据合作社如何帮助个人谈判数据利益?
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