The FAIR principles define a number of expected behaviours for the data and services ecosystem with the goal of improving the findability, accessibility, interoperability, and reusability of digital objects. A key aspiration of the principles is that they would lead to a scenario where autonomous computational agents are capable of performing a ``self-guided exploration of the global data ecosystem,'' and act properly with the encountered variety of types, formats, access mechanisms and protocols. The lack of support for some of these expected behaviours by current information infrastructures such as the internet and the World Wide Web motivated the emergence, in the last years, of initiatives such as the FAIR Digital Objects (FDOs) movement. This movement aims at an infrastructure where digital objects can be exposed and explored according to the FAIR principles. In this paper, we report the current status of the work towards an ontology-driven conceptual model for FAIR Digital Objects. The conceptual model covers aspects of digital objects that are relevant to the FAIR principles such as the distinction between metadata and the digital object it describes, the classification of digital objects in terms of both their informational value and their computational representation format, and the relation between different types of FAIR Digital Objects.

翻译：FAIR原则定义了数据及服务生态系统的一系列预期行为，旨在提升数字对象的可发现性、可访问性、互操作性和可重用性。该原则的核心愿景在于构建一个能够实现自主计算代理"对全球数据生态系统进行自我引导式探索"，并妥善处理所遭遇的各类类型、格式、访问机制与协议的场景。由于当前信息基础设施（如互联网和万维网）对上述部分预期行为的支持不足，近年来催生了FAIR数字对象（FDOs）运动等倡议。该运动致力于构建一个能够根据FAIR原则暴露和探索数字对象的基础设施。本文报告了面向FAIR数字对象的本体驱动型概念模型的研究进展。该概念模型涵盖与FAIR原则相关的数字对象关键维度，包括元数据与其所描述数字对象之间的区分、数字对象在信息价值与计算表示格式两个层面的分类，以及不同类型FAIR数字对象之间的关联关系。