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一种通用的轻量级方法,用于计算生物信息学基础设施项目中工具和服务的值结构。

A generally applicable lightweight method for calculating a value structure for tools and services in bioinformatics infrastructure projects.

出版信息

Brief Bioinform. 2019 Jul 19;20(4):1215-1221. doi: 10.1093/bib/bbx140.

Abstract

Sustainable noncommercial bioinformatics infrastructures are a prerequisite to use and take advantage of the potential of big data analysis for research and economy. Consequently, funders, universities and institutes as well as users ask for a transparent value model for the tools and services offered. In this article, a generally applicable lightweight method is described by which bioinformatics infrastructure projects can estimate the value of tools and services offered without determining exactly the total costs of ownership. Five representative scenarios for value estimation from a rough estimation to a detailed breakdown of costs are presented. To account for the diversity in bioinformatics applications and services, the notion of service-specific 'service provision units' is introduced together with the factors influencing them and the main underlying assumptions for these 'value influencing factors'. Special attention is given on how to handle personnel costs and indirect costs such as electricity. Four examples are presented for the calculation of the value of tools and services provided by the German Network for Bioinformatics Infrastructure (de.NBI): one for tool usage, one for (Web-based) database analyses, one for consulting services and one for bioinformatics training events. Finally, from the discussed values, the costs of direct funding and the costs of payment of services by funded projects are calculated and compared.

摘要

可持续的非商业生物信息学基础设施是利用大数据分析的潜力进行研究和经济发展的前提。因此,资助者、大学和研究所以及用户都要求提供工具和服务的透明价值模型。本文描述了一种通用的轻量级方法,生物信息学基础设施项目可以使用该方法来估算所提供工具和服务的价值,而无需准确确定总拥有成本。本文提出了五种具有代表性的价值估算场景,从粗略估算到详细的成本分解。为了考虑生物信息学应用和服务的多样性,本文引入了特定于服务的“服务提供单位”的概念,以及影响它们的因素和这些“价值影响因素”的主要基本假设。特别关注如何处理人员成本和间接成本,如电力。本文以德国生物信息学基础设施网络(de.NBI)提供的工具和服务为例,展示了如何计算工具和服务的价值:一个用于工具使用,一个用于(基于 Web 的)数据库分析,一个用于咨询服务,一个用于生物信息学培训活动。最后,从讨论的价值中,计算并比较了直接资助的成本和受资助项目支付服务的成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9d1/6781588/e9d553322fbb/bbx140f1.jpg

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