2023
DOI: 10.1117/1.nph.10.2.023520
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Shedding light on functional near-infrared spectroscopy and open science practices

Abstract: . Open science practices work to increase methodological rigor, transparency, and replicability of published findings. We aim to reflect on what the functional near-infrared spectroscopy (fNIRS) community has done to promote open science practices in fNIRS research and set goals to accomplish over the next 10 years.

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Cited by 5 publications
(10 citation statements)
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“…Standards for reporting, preregistration, 10 and open science practices with data sharing continue to increase. 11 Data sharing is central to validating research findings and performing secondary analyses. Open source analysis packages and data formats (e.g., SNIRF ) are facilitating this practice.…”
Section: Fnirs Methods and Modelingmentioning
confidence: 99%
“…Standards for reporting, preregistration, 10 and open science practices with data sharing continue to increase. 11 Data sharing is central to validating research findings and performing secondary analyses. Open source analysis packages and data formats (e.g., SNIRF ) are facilitating this practice.…”
Section: Fnirs Methods and Modelingmentioning
confidence: 99%
“…Finally, we would like to urge that these processes be embedded in open science practices (Ayaz et al, 2022 ; Kelsey et al, 2023 ), beginning with preregistration where explicit intentions are established for the research prior to collecting data (for recommendations see: Schroeder et al, 2023 ). Following analysis, datasets should be publicly archived to promote transparency and re-use of data.…”
Section: Hyperscanning With Mobile Fnirs: Challenges and Paths Forwardmentioning
confidence: 99%
“…Following analysis, datasets should be publicly archived to promote transparency and re-use of data. These small steps will allow future work to build upon previous methods and findings more easily while also addressing current challenges facing hyperscanning research (Kelsey et al, 2023 ).…”
Section: Hyperscanning With Mobile Fnirs: Challenges and Paths Forwardmentioning
confidence: 99%
“…Finally, we would like to urge that these processes be embedded in open science practices (Ayaz et al, 2022;Kelsey et al, 2023), beginning with preregistration where explicit intentions are established for the research prior to collecting data (for recommendations see: Schroeder et al, 2023). Following analysis, datasets should be publicly archived to promote transparency and re-use of data.…”
Section: Analysis Of Ins Measured With Mobile Fnirsmentioning
confidence: 99%
“…Following analysis, datasets should be publicly archived to promote transparency and re-use of data. These small steps will allow future work to build upon previous methods and findings more easily while also addressing current challenges facing hyperscanning research (Kelsey et al, 2023).…”
Section: Analysis Of Ins Measured With Mobile Fnirsmentioning
confidence: 99%