云平台互操作性框架：迈向SAFE环境中的FAIR数据
A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments
AI总结：
本文提出SAFE（安全且授权的FAIR环境）概念及互操作性框架，通过数据和平台治理结构及API，解决云平台间敏感或受控访问数据（如生物医学数据）的互操作性问题。
摘要：
随着支持科学研究的云平台数量不断增长，由于越来越多的数据被托管在基于云的平台上，支持两个或多个云平台之间的互操作性需求日益增加。一个被广泛接受的核心概念是使云平台中的数据具备可发现、可访问、可互操作和可重用性（FAIR）。我们引入了一个适用于基于云的计算环境的伴随概念，称之为安全且授权的FAIR环境（SAFE）。SAFE环境要求数据和平台治理结构，旨在支持敏感或受控访问数据（如生物医学数据）的互操作性。SAFE环境是一个云平台，它已通过明确的数据和平台治理流程的批准，被授权持有来自另一个云平台的数据，并公开适当的API以供两个平台进行互操作。
英文摘要：
As the number of cloud platforms supporting scientific research grows, there is an increasing need to support interoperability between two or more cloud platforms, as a growing amount of data is being hosted in cloud-based platforms. A well accepted core concept is to make data in cloud platforms Findable, Accessible, Interoperable and Reusable (FAIR). We introduce a companion concept that applies to cloud-based computing environments that we call a Secure and Authorized FAIR Environment (SAFE). SAFE environments require data and platform governance structures and are designed to support the interoperability of sensitive or controlled access data, such as biomedical data. A SAFE environment is a cloud platform that has been approved through a defined data and platform governance process as authorized to hold data from another cloud platform and exposes appropriate APIs for the two platforms to interoperate.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
