Presentation of data is a major component to academic research. However, programming languages, computational tools, and methods for exploring and analyzing data can be time consuming and frustrating to learn and finding help with these stages of the broader research process can be daunting. In this work, we highlight the impacts that computational research support programs housed in library contexts can have for fulfilling gaps in student, staff, and faculty research needs. The archival history of one such organization, Software and Services for Data Science (SSDS) in the Stanford University Cecil H. Green Library, is used to outline challenges faced by social sciences and humanities researchers from the 1980s to the present day.
https://doi.org/10.1177/09610006221124619
| Research Data Publication and Citation Bibliography | Research Data Sharing and Reuse Bibliography | Research Data Curation and Management Bibliography | Digital Scholarship |
