Browsing by Author "Wernert, Julie A."
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Item 2024 Jetstream2 Community Assessment Summary Report(Indiana University, 2025-01-13) Wernert, Julie A.; Miles, Tonya A.This document summarizes the results of the 2024 Jetstream2 Community Assessment conducted among 1932 individuals from August 26 through September 12, 2024. This was the second assessment conducted under the National Science Foundation-funded Jetstream2 project awarded in 2020 and which began operations in 2022, but the seventh survey of the broader Jetstream community. We have opted to retain data collected under the original Jetstream project (NSF award #1445604), referred to herein as Jetstream1, for comparison and to preserve longitudinal trends.Item A Perspective on Open Source Software Sustainability(2015-10) Stewart, Craig A.; Wernert, Julie A.; Wernert, Eric A.; Barnett, William K.Item Dataset - XSEDE Return on Investment Data and Analysis (July 2014 to August 2022)(2024-01) Costa, Claudia; Wernert, Julie A.; Stewart, Craig A.; Snapp-Childs, Winona; Blood, Phil D.; Chityala, Praneeth; Hart, David; Knepper, Richard; McMullen, Donald F.; Mehringer, S; Rogers, Gary; Sinkovits, RobertItem Dataset: XSEDE Return on Investment Data and Analysis (July 2014 to August 2019).(2020-04-24) Costa, Claudia M.; Wernert, Julie A.; McMullen, D.F.; Stewart, Craig A.; Blood, Phillip D.; Sinkovits, Robert; Mehringer, Susan; Knepper, Richard; Bland, Marques; Rogers, GaryItem Dataset: XSEDE Return on Investment Data and Analysis - July 2014 to August 2020(2021) Costa, Claudia M.; Wernert, Julie A.; McMullen, Donald F.; Stewart, Craig A.; Blood, Phillip D.; Sinkovits, Robert; Mehringer, Susan H.; Knepper, Richard; Bland, Marques; Rogers, GaryItem Dataset: XSEDE Return on Investment Data and Analysis - July 2014 to August 2021(2022) Costa, Claudia M.; Wernert, Julie A.; McMullen, Donald F.; Stewart, Craig A.; Blood, Phillip D.; Sinkovits, Robert; Mehringer, Susan H.; Knepper, Richard; Bland, Marques; Rogers, GaryItem Interview responses of hiring managers regarding economic value of HPC experience for new STEM professionals(Indiana University, 2023) Snapp-Childs, Winona G.; Costa, Claudia; Olds, Daniel; Snell, Addison; Wernert, Julie A.; Stewart, Craig A.Interview responses of hiring managers regarding economic value of HPC experience for new STEM professionalsItem NCGAS Annual User Assessment 2019 Summary Report(2019-09) Wernert, Julie A.; Jankowski, HarmonyItem Practice and Experience in Advanced Research Computing (PEARC24) Evaluation Report(Indiana University, 2024-11-07) Wernert, Julie A.; Miles, Tonya A.The eighth annual Practice & Experience in Advanced Research Computing (PEARC) conference, highlighting Human Powered Computing, was held July 21–July 25, 2024, in Providence, Rhode Island. The PEARC conference series is a community-driven effort built on the successes of the past, with the aim to grow and increase inclusivity by involving additional local, regional, national, and international cyberinfrastructure and research computing partners spanning academia, government, and industry. The PEARC Conference Series works to integrate and meet the collective interests of the growing Research Computing and Data (RCD) community by providing a forum for discussing challenges, opportunities, and solutions among its broad range of participants. PEARC Conferences are organized by a group of dedicated volunteers from the community, with oversight by a Steering Committee comprised of a diverse cohort of community members and are sponsored by the Association for Computing Machinery (ACM), the world’s largest educational and scientific computing society. This report summarizes results from the PEARC24 evaluation activities.Item Sustainability of cyberinfrastructure software: Community needs, case studies, and success strategies(2014-03-01) Stewart, Craig A.; Barnett, William K.; Wernert, Eric A.; Wernert, Julie A.; Welch, Von; Knepper, RichardThis report discusses factors that lead to open source software being sustained over the long term, and presents recommendations on best practices for cyberinfrastructure software development, support, and sustainability. It aims to provide the scientific community, software developers, and the NSF with information that will contribute to software that is more reliable and sustainable, and to reduce duplication of effort in software development. Findings are based on responses to surveys of NSF-funded investigators (summarized in "Models for Sustainability for Robust Cyberinfrastructure Software" [http://hdl.handle.net/2022/17313]). The companion dataset appears in "Best Practices and Models for Sustainability for Robust Cyberinfrastructure Software” - Survey Dataset and Analyses" at http://hdl.handle.net/2022/17312.Item Sustained Software for Cyberinfrastructure - Analyses of Successful Efforts with a Focus on NSF-Funded Software(2015-06-16) Stewart, Craig A.; Barnett, William K.; Wernert, Eric A.; Wernert, Julie A.; Welch, Von; Knepper, RichardReliable software that provides needed functionality is clearly essential for an effective distributed cyberinfrastructure (CI) that supports comprehensive, balanced, and flexible distributed CI that, in turn, supports science and engineering applications. The purpose of this study was to understand what factors lead to software projects being well sustained over the long run, focusing on software created with funding from the US National Science Foundation (NSF) and/or used by researchers funded by the NSF. We surveyed NSF-funded researchers and performed in-depth studies of software projects that have been sustained over many years. Successful projects generally used open-source software licenses and employed good software engineering practices and test practices. However, many projects that have not been well sustained over time also meet these criteria. The features that stood out about successful projects included deeply committed leadership and some sort of user forum or conference at least annually. In some cases, software project leaders have employed multiple financial strategies over the course of a decades-old software project. Such well-sustained software is used in major distributed CI projects that support thousands of users, and this software is critical to the operation of major distributed CI facilities in the US. The findings of our study identify some characteristics of software that is relevant to the NSF-supported research community, and that has been sustained over many years.Item Technical Report: XSEDE Return on Investment (Proxy) Data and Analysis Methods, July 2014 to August 2019(2020-07-31) Wernert, Julie A.; Costa, Claudia M.; McMullen, Donald F.; Stewart, Craig A.; Blood, Phillip D.; Sinkovits, Robert; Mehringer, Susan H.; Knepper, Richard; Bland, Marques; Rogers, GaryItem Technical Report: XSEDE Return on Investment (Proxy) Data and Analysis Methods, July 2014 to August 2020(2021) Wernert, Julie A.; Costa, Claudia M.; McMullen, Donald F.; Stewart, Craig A.; Blood, Phillip D.; Sinkovits, Robert; Mehringer, Susan H.; Knepper, Richard; Bland, Marques; Rogers, GaryItem Technical Report: XSEDE Return on Investment (Proxy) Data and Analysis Methods, July 2014 to August 2021(2022) Wernert, Julie A.; Costa, Claudia M.; McMullen, Donald F.; Stewart, Craig A.; Blood, Phillip D.; Sinkovits, Robert; Mehringer, Susan H.; Knepper, Richard; Bland, Marques; Rogers, GaryItem Technical Report: XSEDE Return on Investment Data and Analysis, 2015-2017(2018) Stewart, Craig A.; Wernert, Julie A.; Wilkins-Diehr, Nancy; Gaither, KellyItem Who Cares About Science Gateways? A Large-Scale Survey of Community Use and Needs (Dataset)(2015-09-17) Lawrence, Katherine A.; Zentner, Michael; Wilkins-Diehr, Nancy; Wernert, Julie A.; Pierce, Marlon; Marru, Suresh; Michael, ScottWith the rise of science gateway use in recent years, we anticipate there are additional opportunities for growth, but the field is currently fragmented. This data set represents the results our efforts to measure the extent and characteristics of the gateway community through a large-scale survey. Our goal was to understand what type of support services might be provided to the gateway community.Item XSEDE 2013 User Satisfaction Survey(2013-05) Wernert, Julie A.; Whitten, RobertThis report provides an analysis and evaluation of the XSEDE Annual Survey 2013. Section 1 describes the data collection methodology of the survey. The sample included 13 types of users with a sample size of 5000 users. The survey consisted of quantitative and qualitative questions designed to determine user satisfaction of XSEDE services and resources. The survey was available from February 11, 2013 through March 15, 2013. The overall response rate was 20.4% which represents a nearly 60% increase over the 2012 annual survey.