XDMoD value analytics: A tool for measuring the financial and intellectual ROI of your campus cyberinfrastructure facilities. Fulton, B., Gallo, S., Henschel, R., Yearke, T., Börner, K., DeLeon, R., L., Furlani, T., Stewart, C., A., & Link, M. In Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact (PEARC17 ), volume Part F1287, pages 7, 7, 2017. Association for Computing Machinery.
XDMoD value analytics: A tool for measuring the financial and intellectual ROI of your campus cyberinfrastructure facilities [pdf]Paper  XDMoD value analytics: A tool for measuring the financial and intellectual ROI of your campus cyberinfrastructure facilities [link]Website  abstract   bibtex   
Understanding the financial and intellectual value of campus-based cyberinfrastructure (CI) to the institutions that invest in such CI is intrinsically dificult. Given today's financial pressures, there is o.en administrative pressure questioning the value of campus-based 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 scientific 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 first year of this award, during which we focused on financial analytics. During the second year of this project we 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.

Downloads: 0