Open and reproducible neuroimaging: From study inception to publication.
Open and reproducible neuroimaging: From study inception to publication.
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DOI：
10.1016/j.neuroimage.2022.119623
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发表时间：
2022-11
期刊：
影响因子：
5.7
通讯作者：
Rieger, Jochem W.
中科院分区：
文献类型：
--
作者：
Niso, Guiomar;Botvinik-Nezer, Rotem;Appelhoff, Stefan;De la Vega, Alejandro;Esteban, Oscar;Etzel, Joset A.;Finc, Karolina;Ganz, Melanie;Gau, Remi;Halchenko, Yaroslav O.;Herholz, Peer;Karakuzu, Agah;Keator, David B.;Markiewicz, Christopher J.;Maumet, Camille;Pernet, Cyril R.;Pestilli, Franco;Queder, Nazek;Schmitt, Tina;Sojka, Weronika;Wagner, Adina S.;Whitaker, Kirstie J.;Rieger, Jochem W.
对实验室如何进行研究的经验观察表明，透明、可重复和协作科学的开放实践的采用率仍处于起步阶段。这与这些实践的必要性及其对个体研究人员，科学进步和整个社会的好处的压倒性证据不一致。迄今为止，在研究项目的不同步骤中实施开放科学实践所需的信息分散在许多不同的来源中。即使是该领域经验丰富的研究人员也很难驾驭工具生态系统并做出可持续的选择。在这里，我们提供了一个社区开发的资源，可以支持协作，开放，可复制，可复制，强大的和可推广的神经成像在整个研究周期从开始到出版，并在不同的神经成像模式的综合概述。我们回顾了支持研究开始和规划、数据采集、研究数据管理、数据处理和分析以及研究传播的工具和实践。该资源的在线版本可以在https://oreoni.github.io上找到。我们相信，这将有助于研究人员和机构向开放和可复制的科学成功和可持续地迈进，并最终在其未来发展中发挥积极作用。
Empirical observations of how labs conduct research indicate that the adoption rate of open practices for transparent, reproducible, and collaborative science remains in its infancy. This is at odds with the overwhelming evidence for the necessity of these practices and their benefits for individual researchers, scientific progress, and society in general. To date, information required for implementing open science practices throughout the different steps of a research project is scattered among many different sources. Even experienced researchers in the topic find it hard to navigate the ecosystem of tools and to make sustainable choices. Here, we provide an integrated overview of community-developed resources that can support collaborative, open, reproducible, replicable, robust and generalizable neuroimaging throughout the entire research cycle from inception to publication and across different neuroimaging modalities. We review tools and practices supporting study inception and planning, data acquisition, research data management, data processing and analysis, and research dissemination. An online version of this resource can be found at https://oreoni.github.io. We believe it will prove helpful for researchers and institutions to make a successful and sustainable move towards open and reproducible science and to eventually take an active role in its future development.
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影响因子：
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作者：
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通讯作者：
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