Reproducibility and reusability of research results is an important concern in scientific communication and science policy. A foundational element of reproducibility and reusability is the open and persistently available presentation of research data. However, many common approaches for primary data publication in use today do not achieve sufficient long-term robustness, openness, accessibility or uniformity. Nor do they permit comprehensive exploitation by modern Web technologies. This has led to several authoritative studies recommending uniform direct citation of data archived in persistent repositories. Data are to be considered as first-class scholarly objects, and treated similarly in many ways to cited and archived scientific and scholarly literature. Here we briefly review the most current and widely agreed set of principle-based recommendations for scholarly data citation, the Joint Declaration of Data Citation Principles (JDDCP). We then present a framework for operationalizing the JDDCP; and a set of initial recommendations on identifier schemes, identifier resolution behavior, required metadata elements, and best practices for realizing programmatic machine actionability of cited data. The main target audience for the common implementation guidelines in this article consists of publishers, scholarly organizations, and persistent data repositories, including technical staff members in these organizations. But ordinary researchers can also benefit from these recommendations. The guidance provided here is intended to help achieve widespread, uniform human and machine accessibility of deposited data, in support of significantly improved verification, validation, reproducibility and re-use of scholarly/scientific data.

中文翻译：

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在学术出版物中实现引用数据的人和机器可访问性。

研究结果的可重复性和可重用性是科学传播和科学政策中的重要问题。可再现性和可重用性的基本要素是公开且持久可用的研究数据表示。但是，当今使用的许多主要数据发布常用方法都无法实现足够的长期鲁棒性，开放性，可访问性或统一性。它们也不允许现代Web技术进行全面开发。这导致了一些权威性研究，建议对持久性存储库中存储的数据进行统一的直接引用。数据应被视为一流的学术对象，并在许多方面与引用和存档的科学和学术文献具有相似的处理方式。在这里，我们简要回顾一下有关学术数据引用的最新，最广泛接受的基于原则的建议集，即《数据引用原则联合声明》（JDDCP）。然后，我们提出一个使JDDCP运作的框架；以及关于标识符方案，标识符解析行为，所需的元数据元素以及实现引用数据的程序化机器可操作性的最佳做法的一组初始建议。本文通用实施指南的主要目标受众是出版商，学术组织和持久性数据存储库，其中包括这些组织中的技术人员。但是普通研究人员也可以从这些建议中受益。此处提供的指南旨在帮助实现广泛的，