Data reuse is a common practice in the social sciences. While published data play an essential role in the production of social science research, they are not consistently cited, which makes it difficult to assess their full scholarly impact and give credit to the original data producers. Furthermore, it can be challenging to understand researchers' motivations for referencing data. Like references to academic literature, data references perform various rhetorical functions, such as paying homage, signaling disagreement, or drawing comparisons. This paper studies how and why researchers reference social science data in their academic writing. We develop a typology to model relationships between the entities that anchor data references, along with their features (access, actions, locations, styles, types) and functions (critique, describe, illustrate, interact, legitimize). We illustrate the use of the typology by coding multidisciplinary research articles (n=30) referencing social science data archived at the Inter-university Consortium for Political and Social Research (ICPSR). We show how our typology captures researchers' interactions with data and purposes for referencing data. Our typology provides a systematic way to document and analyze researchers' narratives about data use, extending our ability to give credit to data that support research.
翻译:在社会科学中,数据再利用是一种常见的做法。虽然公开的数据在社会科学研究的制作中发挥着不可或缺的作用,但并没有一贯地引用这些数据,因此难以评估其充分的学术影响,并给原始数据编制者以信用。此外,对研究人员引用数据的动机可能具有挑战性;与学术文献的参考一样,数据参考也具有各种口头功能,例如敬佩、信号分歧或绘图比较。本文研究研究人员如何和为什么在其学术著作中引用社会科学数据。我们开发了一种模型,以建立数据库参考实体之间的模型关系,以及其特征(检索、行动、地点、风格、类型)和功能(精密、描述、说明、互动和合法化)。我们通过编篡多学科研究文章(n=30)来说明这些类型的使用,其中引用了政治和社会研究大学间联合会(ICPSR)存档的社会科学数据。我们展示了我们的分类如何捕捉研究人员与数据和引用数据的目的的相互作用。我们的类型提供了一种系统的方法,用于记录和分析研究人员关于数据使用情况的叙述,扩大我们对支持研究的数据的信用能力。