Estimating the Accuracy of User Surveys for Assessing the Impact of HPC Systems

Author:

Hart David1,Rishel Melissa2,Nychka Doug1

Affiliation:

1. National Center for Atmospheric Research, Boulder, CO

2. University of Northern Colorado, McKee, Greeley, CO

Funder

National Science Foundation

Publisher

ACM

Reference13 articles.

1. Lessons from a High-Impact Observatory: TheHubble Space Telescope’sScience Productivity between 1998 and 2008

2. How and where the TeraGrid supercomputing infrastructure benefits science

3. Chan D. 2009. "So why ask me? Are self-report data really that bad?" Statistical and methodological myths and urban legends: Doctrine verity and fable in the organizational and social sciences (2009): 309--336. Chan D. 2009. "So why ask me? Are self-report data really that bad?" Statistical and methodological myths and urban legends: Doctrine verity and fable in the organizational and social sciences (2009): 309--336.

4. Measuring TeraGrid: workload characterization for a high-performance computing federation

5. Henderson T. and Kotz D. 2015. Data Citation Practices in the CRAWDAD Wireless Network Data Archive. D-Lib Magazine 21(1/2). DOI=10.1045/january2015-henderson Henderson T. and Kotz D. 2015. Data Citation Practices in the CRAWDAD Wireless Network Data Archive. D-Lib Magazine 21(1/2). DOI=10.1045/january2015-henderson

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1. Scholarly Metrics at NCAR;The New Metrics: Practical Assessment of Research Impact;2019-08-19

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