The data article is a digital genre that has emerged in response to new exigencies, namely, to make data more transparent and research processes more trustable and reproducible. Following White’s framework of intersubjective stance, this article draws upon statistical tools and collocational and discourse analyses to examine the linguistic resources deployed by authors to respond to both exigencies. The results show a high presence of dialogically contractive resources (above all, passive constructions and, only in one data article section, inanimate subjects) by which authors do not fully engage with dialogic alternatives (heteroglossic disengagement). Dialogically expansive resources (anticipatory it-subjects and we-pronouns) are extremely rare, corroborating that the authors’ stance is neither monoglossic (undialogized) nor heteroglossically engaged. Further, the discourse functions and ensuing pragmatic effects of the prevailing intersubjective stance resources, significantly different between and among the data article sections, including their associated abstracts, reveal the construal of very distinct dialogic spaces for writer-reader interaction within this article type. Such intra-generic variation may be explained by the social (and rhetorical) action that the genre fulfills, namely, to describe and highlight the value of the research data.

数据文章是为响应新的紧急情况而出现的一种数字类型，即使数据更加透明，研究过程更加可信和可重复。遵循怀特的主体间立场框架，本文利用统计工具以及搭配和话语分析来检查作者为应对这两种紧急情况而部署的语言资源。结果表明，对话收缩资源（最重要的是，被动结构，并且仅在一个数据文章部分中，无生命主题）的存在很高，作者没有完全参与对话替代方案（异语脱离接触）。对话式扩展资源（预期的IT主题和我们-代词）极为罕见，证实了作者的立场既不是单语（未对话）也不是异语。此外，主要的主体间立场资源的话语功能和随之而来的语用效果，在数据文章部分之间显着不同，包括它们相关的摘要，揭示了这种文章类型中作家-读者互动的非常不同的对话空间的解释。这种类型内的差异可以通过该类型实现的社会（和修辞）行为来解释，即描述和突出研究数据的价值。