@inproceedings{c1d58a9ffb544b188c65576b4aa3b22f,
title = "XDMoD value analytics: A tool for measuring the financial and intellectual ROI of your campus cyberinfrastructure facilities",
abstract = "Understanding the financial and intellectual value of campus-based cyberinfrastructure (CI) to the institutions that invest in such CI is intrinsically dicult. Given today's financial pressures, there is o.en administrative pressure questioning the value of campusbased and campus-funded CI resources. In this paper we describe new financial analytics capabilities being added to the widely used system analysis tool Open XDMoD (XSEDE Metrics on Demand) to create a new realm of metrics that will allow us to correlate usage of high performance computing with funding and publications. The capabilities to be added will eventually allow CI centers to view metrics relevant to both scienti.c output in terms of publications, and financial data in terms of awarded grants. The creation of Open XDMoD Value Analytics was funded by the National Science Foundation as a two year project. We are now nearing the end of the .rst year of this award, during which we focused on financial analytics. During the second year of this projectwe will focus on analytics of intellectual output.This module will allow the same sorts of analyses about systems and users as the financial analytics module, but in terms of intellectual outputs such as number of publications, citations to publications, and H indices.This module will also have capabilities to visualize such data, integrated with financial data. We plan to present these tools at PEARC '18.",
keywords = "Funding, HPC, HPC monitoring, ROI, XDMoD",
author = "Ben Fulton and Steven Gallo and Robert Henschel and Tom Yearke and Katy B{\"o}rner and DeLeon, \{Robert L.\} and Thomas Furlani and Stewart, \{Craig A.\} and Matt Link",
note = "Publisher Copyright: {\textcopyright} 2017 Copyright is held by the owner/author(s).; 2017 Practice and Experience in Advanced Research Computing, PEARC 2017 ; Conference date: 09-07-2017 Through 13-07-2017",
year = "2017",
month = jul,
day = "9",
doi = "10.1145/3093338.3093358",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
booktitle = "PEARC 2017 - Practice and Experience in Advanced Research Computing 2017",
address = "United States",
}