R1 Digital Scholarship Program Survey Dataset, 2020



This data represents responses to a survey instrument with twelve qualitative and five quantitative questions used to investigate the infrastructure, activities, and perceived successes and challenges of digital scholarship programs at Carnegie Classification R1: Doctoral Universities in 2020. Our study reveals that digital scholarship programs at large research universities tend to be support-oriented organizations most commonly rooted in libraries but partnered with or funded by other units within major research universities. These programs exist at over three-fourths of R1 institutions and their staff serve a critical function at the intersection of technology and the three core facets of scholarship--research, teaching, and engagement.

Three CSV files (dss_data_q4_12.csv, dss_data_q13.csv, dss_data_q14_17.csv) include de-identified survey responses for questions 4 to 17, covering aspects of the practices of Digital Scholarship programs at R1 institutions. Qualitative responses in the dataset are represented by the inductive codes applied by the study authors to those free-text responses. Quantitative responses are included as submitted by respondents. Answers to questions 1 to 3 are not included to protect respondent anonymity. The survey_questions.txt file lists the complete questions from the survey, as exported from Qualtrics. The readme.txt file includes detailed documentation for each file.
Date made available2020
PublisherData Repository for the University of Minnesota
Date of data productionMay 7 2020 - Aug 11 2020

Cite this