The Role of Industry Standards: An Overview of the Top Engineering Schools' Libraries.

Abstract

How important are industry standards to the academic library collection? This article seeks to provide a snapshot of the use, assistance with, relevance, and availability of standards within libraries supporting top ranked engineering programs. The study consists of three measurements: a review of web sites, an unobtrusive e-mail reference inquiry, and a survey of engineering subject specialists. The findings suggest that although standards are a valued resource, financial constraints, varied interest, and limited exposure contribute to their underutilization. [ABSTRACT FROM AUTHOR]

One Size Does Not Fit All: Common Practices for Standards Collections and Management

“…In Khan's (2013) study, 66% of students said they incorporated industrial standards in their senior design projects, which confirms that undergraduates are important beneficiaries of standards education. This is a sentiment echoed by Mathews (2006) since it is essential that undergraduates are well-grounded in standards education in order to thrive on their first employment.…”

“…Musser (1990) also stated that given limited resources that exist in most academic libraries, it is difficult to justify a comprehensive purchase of standards. Using the on-demand purchasing, either through library-mediated or direct user approaches, was seen as an alternative means and has been well-documented in the literature (Dunn & Xie, 2017;Mathews, 2006;Melgoza, 2002;Musser, 1990;Pellack, 2005;Phillips, 2019;Taylor, 1999). Pellack (2005) and Mathews (2006) found that 60% and 63% of institutions, respectively, provide individual standards through on-demand purchasing.…”

“…Using the on-demand purchasing, either through library-mediated or direct user approaches, was seen as an alternative means and has been well-documented in the literature (Dunn & Xie, 2017;Mathews, 2006;Melgoza, 2002;Musser, 1990;Pellack, 2005;Phillips, 2019;Taylor, 1999). Pellack (2005) and Mathews (2006) found that 60% and 63% of institutions, respectively, provide individual standards through on-demand purchasing. While widely used, ondemand purchasing is not without its challenges.…”

Editorial: Governance of emerging health-related technologies

“…Specifically, The National Academy of Medicine Leadership Consortium Project to Develop Health Care AI Code of Conduct (2023/2025) (USA) is aimed at providing a guiding framework to ensure that AI algorithms and their application in health, health care and biomedical science perform accurately, safely, reliably and ethically in the service of better health for all (NAM, 2023b). The planned outputs are: (1) a harmonized and broadly supported Code of Conduct; (2) a comprehensive landscape assessment that includes a systematic review of the literature; a review of the guidelines/frameworks/blueprints from federal agencies; and the guidelines issued by medical specialty societies; (3) a description of the roles and responsibilities of each stakeholder at each stage of the AI lifecycle; (4) a description of the national architecture needed to support responsible health care AI and (5) identification of priority actions going forward;The National Academies of Sciences, Engineering and Medicine, in collaboration with the National Academy of Medicine (NAM), established the Committee on Creating a Framework for Emerging Science, Technology and Innovation in Health and Medicine (CESTI) to provide leadership and engage broad communities in developing a framework for aligning the development and use of transformative technologies with ethical and equitable principles (Mathews et al ., 2022a, b); Health AI Partnership (HAIP) (Duke University School of Medicine, USA) aims to better define the requirements for adequate organizational governance of AI systems in healthcare settings and support health system leaders to make more informed decisions around AI adoption (Kim et al ., 2023); The Governance of Emerging Technologies (GET) research program at the Oxford Internet Institute (2019–2024) (UK) investigates legal, ethical and social aspects of AI, machine learning and other emerging information technologies; research projects include issues such as data protection and inferential analytics, algorithmic bias, fairness, diversity and nondiscrimination as well as explainable and accountable AI. The NHS Artificial Intelligence Laboratory (NHS AI Lab) (UK) was established in 2019 to address that challenge by bringing together government, health and care providers, academics and technology companies, identifying gaps and opportunities for international governance and coherence towards ensuring AI-driven technologies are properly governed, regulated and used for maximal benefit in health systems. The Center for Advanced Studies in Bioscience Innovation Law (Denmark) explores the legal challenges and the rapid developments in the biotechnological area. The center brings together scholars from the world's leading research institutions in interdisciplinary collaboration while also engaging stakeholders from industry, government and civil society.…”

“…The National Academies of Sciences, Engineering and Medicine, in collaboration with the National Academy of Medicine (NAM), established the Committee on Creating a Framework for Emerging Science, Technology and Innovation in Health and Medicine (CESTI) to provide leadership and engage broad communities in developing a framework for aligning the development and use of transformative technologies with ethical and equitable principles (Mathews et al ., 2022a, b);…”