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Building the infrastructure to make science metrics more scientific

机译:建立基础设施以使科学指标更加科学

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摘要

Research leaders, policy makers and science strategists need evidence to support decision-making around research funding investment, policy and strategy.  In recent years there has been a rapid expansion in the data sources available that shed light onto aspects of research quality, excellence, use, re-use and attention, and engagement. This is at a time when the modes and routes to share and communicate research findings and data are also changing.  In this opinion piece, we outline a series of considerations and interventions that are needed to ensure that research metric development is accompanied by appropriate scrutiny and governance, to properly support the needs of research assessors and decision-makers, while securing the confidence of the research community. Key among these are: agreed ‘gold standards’ around datasets and methodologies; full transparency around the calculation and derivation of research-related indicators; and a strategy and roadmap to take the discipline of scientific indicators and research assessment to a more robust and sustainable place.
机译:研究领导者,政策制定者和科学策略师需要证据来支持围绕研究资金投资,政策和策略的决策。近年来,可用数据源迅速扩展,阐明了研究质量,卓越性,使用,重用和关注以及参与等方面。这是共享和交流研究结果和数据的方式和途径也在变化的时候。在本意见书中,我们概述了一系列注意事项和干预措施,以确保研究指标的开发伴随着适当的审查和治理,以适当地支持研究评估者和决策者的需求,同时确保研究的信心社区。其中的关键是:围绕数据集和方法论达成的“黄金标准”;研究指标的计算和推导完全透明;以及将科学指标和研究评估学科带入更加稳健和可持续发展的战略和路线图。

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