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Towards a Scientific Impact Measuring Framework for Large Computing Facilities - a Case Study on XSEDE

Published: 13 July 2014 Publication History

Abstract

We present a framework that (a) integrates publication and citation data retrieval, (b) allows scientific impact metrics generation at different aggregation levels, and (c) provides correlation analysis of impact metrics based on publication and citation data with resource allocation for a computing facility. Furthermore, we use this framework to conduct a scientific impact metrics evaluation of XSEDE. We carry out an extensive statistical analysis correlating XSEDE allocation size to the impact metrics aggregated by project and field of science. This analysis not only helps to provide an indication of XSEDE's scientific impact, but also provides insight regarding maximizing the return on investment in terms of allocation by taking into account the field of science or project based impact metrics. The findings from this analysis can be utilized by the XSEDE resource allocation committee to help assess and identify projects with higher scientific impact. It can also help provide metrics regarding the return on investment for XSEDE resources, or other institutional or campus resources for which an analysis of impact based on publications is important.

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Cited By

View all
  • (2021)Comprehensive Evaluation of XSEDE’s Scientific Impact using Semantic Scholar DataPractice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions10.1145/3437359.3465601(1-4)Online publication date: 17-Jul-2021
  • (2018)Evaluating the Scientific Impact of XSEDEProceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity10.1145/3219104.3219124(1-8)Online publication date: 22-Jul-2018
  • (2017)Assessing and tracing the outcomes and impact of research infrastructuresJournal of the Association for Information Science and Technology10.1002/asi.2372168:6(1341-1359)Online publication date: 1-Jun-2017
  • Show More Cited By

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  1. Towards a Scientific Impact Measuring Framework for Large Computing Facilities - a Case Study on XSEDE

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      Published In

      cover image ACM Other conferences
      XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
      July 2014
      445 pages
      ISBN:9781450328937
      DOI:10.1145/2616498
      • General Chair:
      • Scott Lathrop,
      • Program Chair:
      • Jay Alameda
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • NSF: National Science Foundation
      • Drexel University
      • Indiana University: Indiana University

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 July 2014

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      Author Tags

      1. Scientific impact
      2. Technology Audit Service
      3. XDMoD
      4. XSEDE
      5. bibliometric
      6. h-index

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      XSEDE '14

      Acceptance Rates

      XSEDE '14 Paper Acceptance Rate 80 of 120 submissions, 67%;
      Overall Acceptance Rate 129 of 190 submissions, 68%

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      Cited By

      View all
      • (2021)Comprehensive Evaluation of XSEDE’s Scientific Impact using Semantic Scholar DataPractice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions10.1145/3437359.3465601(1-4)Online publication date: 17-Jul-2021
      • (2018)Evaluating the Scientific Impact of XSEDEProceedings of the Practice and Experience on Advanced Research Computing: Seamless Creativity10.1145/3219104.3219124(1-8)Online publication date: 22-Jul-2018
      • (2017)Assessing and tracing the outcomes and impact of research infrastructuresJournal of the Association for Information Science and Technology10.1002/asi.2372168:6(1341-1359)Online publication date: 1-Jun-2017
      • (2016)Comparing the Consumption of CPU Hours with Scientific Output for the Extreme Science and Engineering Discovery Environment (XSEDE)PLOS ONE10.1371/journal.pone.015762811:6(e0157628)Online publication date: 16-Jun-2016
      • (2016)Estimating the Accuracy of User Surveys for Assessing the Impact of HPC SystemsProceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale10.1145/2949550.2949583(1-7)Online publication date: 17-Jul-2016
      • (2015)TAS view of XSEDE users and usageProceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure10.1145/2792745.2792766(1-8)Online publication date: 26-Jul-2015
      • (2015)Peer Comparison of XSEDE and NCAR Publication DataProceedings of the 2015 IEEE International Conference on Cluster Computing10.1109/CLUSTER.2015.98(531-532)Online publication date: 8-Sep-2015

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