Return on time investment: Research resources

L. Nicoll, Sulochana Naidoo, Qing Yang
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引用次数: 1

Abstract

In an earlier article, the concept of “return on time investment” was introduced (ROTI) to consider the time it takes to learn and use a software program or application, balanced against the hours saved for your work or project. For people in academia, or those who anticipate a career that will involve writing on a regular basis, having a strong knowledge of a word processing program and a citation manager is essential. These programs have a high ROTI—that is, it is worth the time investment to learn to use them well, as they will save you many hours of effort in the long run. What if your career will involve active engagement in research activities? Or perhaps you are a student, embarking on a PhD dissertation or DNP capstone project. These types of projects usually involve data‐related activities—typically data collection, management, and analysis. There are myriad applications for each of these tasks. Sorting out the pros and cons of each—and balancing that against cost and ROTI—can be overwhelming. In this article, we will provide a framework that can be used as a starting point for thinking through some of these issues. Note that a comprehensive review of the various applications available is beyond the scope of this article. Our goal, instead, is to give some representative examples and provide criteria that you can use to guide decision‐ making.
时间投资回报:研究资源
在之前的一篇文章中,引入了“按时投资回报率”(ROTI)的概念,以考虑学习和使用软件程序或应用程序所需的时间,并与为您的工作或项目节省的时间相平衡。对于学术界的人,或者那些预计职业生涯将涉及定期写作的人来说,对文字处理程序和引文管理器有很强的了解是至关重要的。这些程序的ROTI很高——也就是说,学习如何使用它们是值得的,因为从长远来看,它们将为您节省许多小时的精力。如果你的职业生涯将涉及积极参与研究活动,该怎么办?或者,也许你是一名学生,正在着手一篇博士论文或DNP顶尖项目。这些类型的项目通常涉及与数据相关的活动,通常是数据收集、管理和分析。每项任务都有无数的应用程序。梳理每种方法的优缺点,并将其与成本和ROTI进行平衡,这可能是压倒性的。在本文中,我们将提供一个框架,作为思考其中一些问题的起点。请注意,对各种可用应用程序的全面审查超出了本文的范围。相反,我们的目标是给出一些有代表性的例子,并提供可用于指导决策的标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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