CaRCC Research Computing and Data (RCD) Workforce Survey Data 2021 - Part 2

Data sets to accompany "Compensation of Academic Research Computing and Data Professionals" Paper citation: Christina Maimone, Carrie Brown, Kimberly Grasch, Chris Reidy, and Ashley Stauffer. 2023. Compensation of Academic Research Computing and Data Professionals. In Proceedings of Practice and Experience in Advanced Research Computing (PEARC23). ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3569951.3593599 Survey questions: Maimone, Christina, Yockel, Scott, Middelkoop, Timothy, Alameda, Jay, Stauffer, Ashley, & Neeser, Amy. (2021). CaRCC Research Computing and Data (RCD) Workforce 2021 Census Questions (1.0). Zenodo. https://doi.org/10.5281/zenodo.5914431

Related Organizations

Harvard University
United States
University of Illinois at Urbana Champaign
United States
University of California, Berkeley
United States
Penza State University
Russian Federation
Northwestern University
United States

Keywords

compensation, research computing, RCD

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average