Evaluating implementation of the Transparency and Openness Promotion (TOP) guidelines: the TRUST process for rating journal policies, procedures, and practices.
Evan Mayo-Wilson, Sean Grant, Lauren Supplee, Sina Kianersi, Afsah Amin, Alex DeHaven, David Mellor
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引用次数: 0
Abstract
Background: The Transparency and Openness Promotion (TOP) Guidelines describe modular standards that journals can adopt to promote open science. The TOP Factor is a metric to describe the extent to which journals have adopted the TOP Guidelines in their policies. Systematic methods and rating instruments are needed to calculate the TOP Factor. Moreover, implementation of these open science policies depends on journal procedures and practices, for which TOP provides no standards or rating instruments.
Methods: We describe a process for assessing journal policies, procedures, and practices according to the TOP Guidelines. We developed this process as part of the Transparency of Research Underpinning Social Intervention Tiers (TRUST) Initiative to advance open science in the social intervention research ecosystem. We also provide new instruments for rating journal instructions to authors (policies), manuscript submission systems (procedures), and published articles (practices) according to standards in the TOP Guidelines. In addition, we describe how to determine the TOP Factor score for a journal, calculate reliability of journal ratings, and assess coherence among a journal's policies, procedures, and practices. As a demonstration of this process, we describe a protocol for studying approximately 345 influential journals that have published research used to inform evidence-based policy.
Discussion: The TRUST Process includes systematic methods and rating instruments for assessing and facilitating implementation of the TOP Guidelines by journals across disciplines. Our study of journals publishing influential social intervention research will provide a comprehensive account of whether these journals have policies, procedures, and practices that are consistent with standards for open science and thereby facilitate the publication of trustworthy findings to inform evidence-based policy. Through this demonstration, we expect to identify ways to refine the TOP Guidelines and the TOP Factor. Refinements could include: improving templates for adoption in journal instructions to authors, manuscript submission systems, and published articles; revising explanatory guidance intended to enhance the use, understanding, and dissemination of the TOP Guidelines; and clarifying the distinctions among different levels of implementation. Research materials are available on the Open Science Framework: https://osf.io/txyr3/ .
背景:透明度和公开性促进(TOP)指南》描述了期刊为促进开放科学而可以采用的模块标准。TOP Factor 是一种衡量标准,用来描述期刊在其政策中采用《透明度与公开性促进指南》的程度。计算 TOP 因子需要系统的方法和评级工具。此外,这些开放科学政策的实施取决于期刊的程序和实践,而 TOP 并没有提供这方面的标准或评级工具:方法:我们介绍了根据《顶级期刊指南》评估期刊政策、程序和实践的流程。我们开发了这一流程,作为社会干预层级研究透明度(TRUST)计划的一部分,以推动社会干预研究生态系统中的开放科学。我们还提供了新的工具,用于根据《TOP 指南》中的标准对期刊的作者须知(政策)、投稿系统(程序)和已发表文章(实践)进行评级。此外,我们还介绍了如何确定期刊的 TOP 因子得分,计算期刊评级的可靠性,以及评估期刊政策、程序和实践之间的一致性。作为该流程的演示,我们介绍了对约 345 种有影响力的期刊进行研究的方案,这些期刊发表的研究成果为循证政策提供了依据:TRUST 流程包括系统方法和评级工具,用于评估和促进各学科期刊实施《顶级期刊指南》。我们对发表有影响力的社会干预研究的期刊进行的研究将全面说明这些期刊是否拥有符合开放科学标准的政策、程序和实践,从而促进发表可信的研究成果,为循证政策提供依据。通过此次论证,我们有望找到完善《顶级期刊指南》和《顶级期刊因子》的方法。完善工作可包括:改进模板,以便在期刊的作者须知、投稿系统和发表的文章中采用;修订解释性指南,以加强对《最高学术标准指南》的使用、理解和传播;以及明确不同实施水平之间的区别。研究材料可在开放科学框架网站上查阅:https://osf.io/txyr3/ 。