PLoS Biol. 2018 Apr 16;16(4):e2002846. doi: 10.1371/journal.pbio.2002846. eCollection 2018 Apr.
Data, including information generated from them by processing and analysis, are an asset with measurable value. The assets that biological research funding produces are the data generated, the information derived from these data, and, ultimately, the discoveries and knowledge these lead to. From the time when Henry Oldenburg published the first scientific journal in 1665 (Proceedings of the Royal Society) to the founding of the United States National Library of Medicine in 1879 to the present, there has been a sustained drive to improve how researchers can record and discover what is known. Researchers' experimental work builds upon years and (collectively) billions of dollars' worth of earlier work. Today, researchers are generating data at ever-faster rates because of advances in instrumentation and technology, coupled with decreases in production costs. Unfortunately, the ability of researchers to manage and disseminate their results has not kept pace, so their work cannot achieve its maximal impact. Strides have recently been made, but more awareness is needed of the essential role that biological data resources, including biocuration, play in maintaining and linking this ever-growing flood of data and information. The aim of this paper is to describe the nature of data as an asset, the role biocurators play in increasing its value, and consistent, practical means to measure effectiveness that can guide planning and justify costs in biological research information resources' development and management.
数据,包括通过处理和分析从数据中生成的信息,是一种具有可衡量价值的资产。生物研究资金产生的资产是生成的数据、从这些数据中得出的信息,以及最终由此产生的发现和知识。从 1665 年亨利·奥登伯格(Henry Oldenburg)出版第一本科学期刊(《英国皇家学会会刊》)到 1879 年美国国立医学图书馆的成立,再到现在,人们一直在努力提高研究人员记录和发现已知信息的能力。研究人员的实验工作是基于多年(和(集体)数十亿美元)的早期工作。如今,由于仪器和技术的进步,加上生产成本的降低,研究人员正在以更快的速度生成数据。不幸的是,研究人员管理和传播其结果的能力并没有跟上,因此他们的工作无法发挥最大的影响。最近已经取得了一些进展,但需要更多地认识到生物数据资源(包括生物信息学资源)在维护和链接不断增长的数据和信息洪流方面所起的重要作用。本文旨在描述数据作为一种资产的性质,描述生物信息学资源在增加其价值方面所起的作用,以及衡量有效性的一致、实用的方法,这些方法可以指导规划并证明生物研究信息资源开发和管理的成本是合理的。