DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. Since its first release in 2014 as a W3C Recommendation, DCAT has seen a wide adoption across communities and domains, particularly in conjunction with implementing the FAIR data principles (for findable, accessible, interoperable and reusable data). These implementation experiences, besides demonstrating the fitness of DCAT to meet its intended purpose, helped identify existing issues and gaps. Moreover, over the last few years, additional requirements emerged in data catalogs, given the increasing practice of documenting not only datasets but also data services and APIs. This paper illustrates the new version of DCAT, explaining the rationale behind its main revisions and extensions, based on the collected use cases and requirements, and outlines the issues yet to be addressed in future versions of DCAT.

翻译：自2014年作为W3C建议首次发布以来,DCAT在社区和领域得到了广泛采用,特别是在实施FAIR数据原则(可找到、可获取、可互操作和可再使用的数据)方面,这些执行经验,除了表明DCAT适合实现其预期目的外,还有助于查明现有问题和差距;此外,在过去几年里,由于不仅记录数据集而且记录数据服务和API的做法日益增多,数据目录中出现了额外要求,本文件说明了DCAT的新版本,解释了根据收集的使用案例和要求对其主要修订和延期的理由,并概述了DCAT未来版本有待解决的问题。</s>