arXiv subjects

Craig A. Stewart

Publications and source records attributed to Craig A. Stewart.

5 recordsLinked to original sources

arXiv2025

Quantitative analysis of the value of investment in research facilities, with examples from cyberinfrastructure

Purpose: How much to invest in research facilities has long been a question in higher education and research policy. We present established and recently developed techniques for assessing the quantitative value created or received as a result of investments in research facilities. This discussion is timely. Financial challenges in higher education may soon force difficult decisions regarding investment in research facilities at some institutions. Clear quantitative analysis will be necessary for such strategic decision-making. Further, institutions of higher education in the USA are currently being called on to justify their value to society. The analyses presented here are extendable to research enterprises as a whole. Results: We present methods developed primarily for analyses of cyberinfrastructure. Most analyses comparing investment in university-based cyberinfrastructure facilities with purchasing services from commercial sources demonstrate positive results for economic and scientific research. A recent assessment, based on a comprehensive accounting approach, has shown that for one large publicly funded cyberinfrastructure project the value delivered to the USA economy and society exceeded the cost to USA taxpayers. Conclusions: Quantitative analyses of the benefits of investment in research and research facilities create a fact-based foundation for discussing the value of research and higher education. These methods enable a quantitative assessment of the relationship between investment in specific research facilities or research projects and economic, societal, and educational outcomes. These methods are of value in quantifying the economic benefit of higher education and in managing investments within such institutions.

econ.GN↗

arXiv2023

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR (Findable, Accessible, Interoperabile, and Reusable) data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research.

cs.DC↗

arXiv2022

Cyberinfrastructure Value: a survey on perceived importance and usage

The research landscape in science and engineering is heavily reliant on computation and data storage. The intensity of computation required for many research projects illustrates the importance of the availability of high performance computing (HPC) resources and services. This paper summarizes the results of a recent study among principal investigators that attempts to measure the impact of the cyberinfrastructure (CI) resources allocated by the XSEDE (eXtreme Science and Engineering Discovery Environment) project to various research activities across the United States. Critical findings from this paper include: a majority of respondents report that the XSEDE environment is important or very important in completing their funded work, and two-thirds of our study's respondents developed products (e.g., datasets, websites, software, etc.) using XSEDE-allocated resources. With nearly one-third of respondents citing the importance of XSEDE-allocated resources in securing research funding, we estimate that respondents of this survey have secured approximately $3.3B in research funding from various sources, as self-reported by respondents.

cs.CY↗

arXiv2022

Preprint: Institutional Value of a Nobel Prize

The Nobel Prize is awarded each year to individuals who have conferred the greatest benefit to humankind in Physics, Chemistry, Medicine, Economics, Literature, and Peace, and is considered by many to be the most prestigious recognition for one's body of work. Receiving a Nobel prize confers a sense of financial independence and significant prestige, vaulting its recipients to global prominence. Apart from the prize money (approximately US$1,145,000), a Nobel laureate can expect to benefit in a number of ways, including increased success in securing grants, wider adoption and promulgation of one's theories and ideas, increased professional and academic opportunities, and, in some cases, a measure of celebrity. A Nobel laureate's affiliated institution, by extension, also greatly benefits. Because of this, many institutions seek to employ Nobel Prize winners or individuals who have a high likelihood of winning one in the future. Many of the recent discoveries and innovations recognized with a Nobel Prize were made possible only because of advanced computing capabilities. Understanding the ways in which advanced research computing facilities and services are essential in enabling new and important discoveries cannot be overlooked in examining the value of a Nobel Prize. This paper explores an institution's benefits of having a Nobel Prize winner among its ranks.

physics.soc-ph↗

arXiv2013

Initial Findings from a Study of Best Practices and Models for Cyberinfrastructure Software Sustainability

We present a set of common themes and recommendations extracted from in depth interviews with the leaders of 12 distinct cyberinfrastructure software projects. These interviews were conducted as part of a larger study to identify and elucidate the best practices and management models that lead to sustainability for cyberinfrastructure software. Respondents in a formal survey of cyberinfrastructure users identified these projects as good examples of sustained software initiatives. While there is clearly no single method or plan that will guarantee sustainability for all projects, we can draw general guidance from these exemplars. This paper presents the common themes, ideas, and recommendations that emerged from those interviews.

cs.SE↗