Data documents play a central role in recording, presenting, and disseminating data. Despite the proliferation of applications and systems designed to support the analysis, visualization, and communication of data, writing data documents remains a laborious process, requiring a constant back-and-forth between data processing and writing tools. Interviews with eight professionals revealed that their workflows contained numerous tedious, repetitive, and error-prone operations. The key issue that we identified is the lack of persistent connection between text and data. Thus, we developed CrossData, a prototype that treats text-data connections as persistent, interactive, first-class objects. By automatically identifying, establishing, and leveraging text-data connections, CrossData enables rich interactions to assist in the authoring of data documents. An expert evaluation with eight users demonstrated the usefulness of CrossData, showing that it not only reduced the manual effort in writing data documents but also opened new possibilities to bridge the gap between data exploration and writing.

翻译：数据文档在记录、呈现和传播数据中发挥着核心作用。尽管支持数据分析、可视化和数据通信的应用程序与系统日益普及，撰写数据文档仍是一个繁重过程，需要在数据处理工具和写作工具之间不断切换。对八位专业人士的访谈显示，其工作流程包含大量繁琐、重复且易出错的操作。我们发现的关键问题在于文本与数据之间缺乏持久连接。为此，我们开发了CrossData原型系统，将文本-数据连接视为持久化、可交互的一等对象。通过自动识别、建立并利用这些连接，CrossData实现了丰富的交互功能以辅助数据文档撰写。八位用户的专家评估验证了CrossData的实用性，表明它不仅减少了人工撰写数据文档的工作量，还为弥合数据探索与写作之间的鸿沟开辟了新的可能性。