期刊
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY
卷 162, 期 -, 页码 69-78出版社
ELSEVIER
DOI: 10.1016/j.ijpsycho.2021.02.005
关键词
Open science practices; Psychophysiology; Replicability; Reproducibility; Multi-site studies
资金
- National Institutes of Health [R01MH097320, R01 MH112558]
This paper summarizes the current status, challenges, and solutions of open science in psychophysiology research, proposes three key domains to facilitate open science practices, and discusses potential implementations such as data sharing, preregistration, and multi-site studies. Additionally, practical steps are discussed to promote the adoption of open science practices in psychophysiology, including training in necessary skills, establishing mechanisms for efficient sharing, and improving incentive structures.
The present review is the result of a one-day workshop on open science, held at the Annual Meeting of the Society for Psychophysiological Research in Washington, DC, September 2019. The contributors represent psychophysiological researchers at different career stages and from a wide spectrum of institutions. The state of open science in psychophysiology is discussed from different perspectives, highlighting key challenges, potential benefits, and emerging solutions that are intended to facilitate open science practices. Three domains are emphasized: data sharing, preregistration, and multi-site studies. In the context of these broader domains, we present potential implementations of specific open science procedures such as data format harmonization, power analysis, data, presentation code and analysis pipeline sharing, suitable for psychophysiological research. Practical steps are discussed that may be taken to facilitate the adoption of open science practices in psychophysiology. These steps include (1) promoting broad and accessible training in the skills needed to implement open science practices, such as collaborative research and computational reproducibility initiatives, (2) establishing mechanisms that provide practical assistance in sharing of processing pipelines, presentation code, and data in an efficient way, and (3) improving the incentive structure for open science approaches. Throughout the manuscript, we provide references and links to available resources for those interested in adopting open science practices in their research.
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