2017 eXtreme science and engineering discovery environment (XSEDE) annual user satisfaction survey

DeStefano, Lizanne; Rivera, Lorna; Wernert, Julie

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https://hdl.handle.net/2142/99064 Copy

Description

Title

2017 eXtreme science and engineering discovery environment (XSEDE) annual user satisfaction survey

Author(s)

• DeStefano, Lizanne
• Rivera, Lorna
• Wernert, Julie

Contributor(s)

Towns, John

Issue Date

2017-07-01

Keyword(s)

• XSEDE
• Evaluation
• Survey
• User
• Satisfaction

Abstract

This report provides an analysis and evaluation of the 2017 eXtreme Science and Engineering Discovery Environment (XSEDE) Annual User Satisfaction Survey. Section C.2, describes the data collection methodology of the survey. The sample included 13 types of users with a sample size of 5000 out of 13493 users with 992 respondents. The survey consisted of quantitative and qualitative questions designed to determine user satisfaction of XSEDE services and resources. The survey was available from March 1, 2017, through April 10, 2017. The overall response rate was just under 20%, down slightly from the 2016 rate of response of 22.2%. Data indicates that users are largely aware of the various services and resources with mean scores generally greater than 3.0, on a 5-point scale. Awareness was up in every single area that had been previously evaluated, and all but one of the previously-evaluated areas were above 3.0 (on a 5-point scale) for the first time since the beginning of XSEDE1. Only one new, previously-unevaluated service – iOS/Android app – was below 3.0. Data suggests that users are very satisfied with XSEDE resources and services, with mean satisfaction values significantly greater than 3.0 on all surveyed areas and greater than 4.0 in most areas. Demographic analysis shows that a majority of users are male, white, and faculty at large, doctoral granting universities. Chemistry, physics, and engineering were the primary fields of study represented. Users were also mostly positive about XSEDE training activities. Section D of this report includes all open-ended question responses.

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/99064

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