Andrea Thomer – InfoDoc MicroVeille

Authors : Jean-Christophe Plantin, Andrea Thomer

We investigate in this article how repository platforms change the sharing and preservation of digital objects in academic libraries. We use evidence drawn from semi-structured interviews with 31 data repository managers working at 21 universities using the product Figshare for institutions.

We first show that repository managers use this platform to bring together actors, technologies, and processes usually scattered across the library to assign to them the tasks that they value less—such as data preparation or IT maintenance—and spend more time engaging in activities they appreciate—such as raising awareness of data sharing.

While this platformization of data management improves their job satisfaction, we reveal how it simultaneously accentuates the outsourcing of libraries’ core mission to private actors. We eventually discuss how this platformization can deskill librarians and perpetuate precarity politics in university libraries.

URL : Platforms, programmability, and precarity: The platformization of research repositories in academic libraries

DOI : https://doi.org/10.1177/14614448231176758

Authors : Sara Lafia, Andrea Thomer, Elizabeth Moss, David Bleckley, Libby Hemphill

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.

URL : Rhetorical Features and Functions of Data References in Academic Articles

DOI : https://doi.org/10.5334/dsj-2023-010