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云平台互操作性框架:在 SAFE 环境中实现 FAIR 数据。

A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments.

机构信息

Center for Translational Data Science, University of Chicago, Chicago, IL, USA.

RTI International, Research Triangle Park, Triangle Park, NC, USA.

出版信息

Sci Data. 2024 Feb 26;11(1):241. doi: 10.1038/s41597-024-03041-5.

Abstract

As the number of cloud platforms supporting scientific research grows, there is an increasing need to support interoperability between two or more cloud 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 ecure and uthorized AIR nvironment (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.

摘要

随着支持科学研究的云平台数量不断增加,越来越需要支持两个或多个云平台之间的互操作性。一个被广泛接受的核心概念是使云平台中的数据具有可发现性、可访问性、互操作性和可重用性(FAIR)。我们引入了一个与之配套的概念,适用于基于云的计算环境,我们称之为安全和授权的 AIR 环境(SAFE)。SAFE 环境需要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 环境是指已经通过定义的数据和平台治理流程获得批准,被授权持有来自另一个云平台的数据的云平台,并为两个平台的互操作公开适当的 API。

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