Easing Into Open Science: A Guide for Graduate Students and Their Advisors

Kathawalla, Ummul-Kiram; Silverstein, Priya; Syed, Moin

doi:10.31234/osf.io/vzjdp

Cited by 17 publications

(20 citation statements)

References 17 publications

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“…Broader strategies are also required for addressing reproducibility in the field of neural oscillations, including replication studies, providing clear descriptions of methods and results, and publishing null results (Cohen, 2017a). Open-science practices, including making data and analysis code available, can help foster reproducibility and develop transparency (Gleeson et al, 2017;Kathawalla et al, 2020;Voytek, 2016). Due to their computational nature, investigations of neural oscillations also benefit from good code practice (Wilson et al, 2017).…”

Section: Discussionmentioning

confidence: 99%

Methodological Considerations for Studying Neural Oscillations

Donoghue¹,

Schaworonkow²,

Voytek³

2021

Preprint

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Neural oscillations are ubiquitous across recording methodologies and species, broadly associated with cognitive tasks, and amenable to computational modeling that investigates neural circuit generating mechanisms and mesoscale dynamics. Because of this, neural oscillations may offer an exciting potential opportunity for linking theory, physiology, and mechanisms of cognition. However, despite their prevalence, there are many concerns—new and old—about how our analysis assumptions are violated by known properties of field potential data. For investigations of neural oscillations to be properly interpreted, and ultimately developed into mechanistic theories, it is necessary to carefully consider the underlying assumptions of the methods we employ. Here, we discuss seven methodological considerations for analyzing neural oscillations. The considerations are to 1) verify the presence of oscillations, as they may be absent; 2) validate oscillation band definitions, to address variable peak frequencies; 3) account for concurrent non-oscillatory aperiodic activity, which might otherwise confound measures; measure and account for 4) temporal variability and 5) waveform shape of neural oscillations, which are often bursty and/or nonsinusoidal, potentially leading to spurious results; 6) separate spatially overlapping rhythms, which may interfere with each other; and 7) consider the required signal-to-noise ratio for obtaining reliable estimates. For each topic, we provide relevant examples, demonstrate potential errors of interpretation, and offer suggestions to address these issues. We primarily focus on univariate measures, such as power and phase estimates, though we discuss how these issues can propagate to multivariate measures. These considerations and recommendations offer a helpful guide for measuring and interpreting neural oscillations.

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Section: Discussionmentioning

confidence: 99%

Methodological Considerations for Studying Neural Oscillations

Donoghue¹,

Schaworonkow²,

Voytek³

2021

Preprint

View full text Add to dashboard Cite

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“…Currently, much of the Open Science movement has been championed by grass-roots advocates and self-organized communities of ECRs (Pownall, 2020), such as the international Open Science journal club, ReproducibiliTea (Orben, 2019). In recent years, visionary ECRs have serviced the Open Science movement by collating reading lists (Crüwell et al, 2019), curating how-to guides (Etz et al, 2018;Kathawalla et al, 2020;Klein et al, 2018), distributing open research resources (e.g., Open Research Calendar and RIOT Science Club), and organizing Open Science conferences (e.g., King's Open Research Conference 2020).…”

Section: Feminist Ecrs As Open Science Changemakersmentioning

confidence: 99%

“…Women's participation is less constrained in Open Science spaces than in other arenas of academia (Murphy et al, 2020). However, ECRs' capacity for collaboration is closely governed by supervisors and senior colleagues (Kathawalla et al, 2020), who may not (fully) endorse Open Science practices (Allen & Mehler, 2019). Feminist ECR engagement in collaboration is also embedded in a context of intense competition for grants and job security (Levecque et al, 2017).…”

Section: Collaboration and Collegialitymentioning

confidence: 99%

Navigating Open Science as Early Career Feminist Researchers

Pownall¹,

Talbot²,

Henschel³

et al. 2020

Preprint

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Open Science aims to improve the rigour, robustness, and reproducibility of psychological research. Despite resistance from some academics, the Open Science movement has been championed by some Early Career Researchers (ECRs), who have proposed innovative new tools and methods to promote and employ open research principles. Feminist ECRs have much to contribute to this emerging way of doing research. However, they face unique barriers, which may prohibit their full engagement with the Open Science movement. We, ten feminist ECRs in psychology, from a diverse range of academic and personal backgrounds, explore Open Science through a feminist lens, to consider how voice and power may be negotiated in unique ways for ECRs. Taking a critical and intersectional approach, we discuss how feminist early career research may be complemented or challenged by shifts towards Open Science. We also propose how ECRs can act as grassroots changemakers within the context of academic precarity. We identify ways in which Open Science can benefit from feminist epistemology and end with six practical recommendations for feminist ECRs who wish to engage with Open Science practices in their own research.

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“…SLAC undergraduates attend selective doctoral programs at high rates (Thomas R. Cech, 1999), so time spent training the next wave of researchers in open science practices is time well spent. Faculty often teach broadly beyond their narrow speciality, and can make use of helpful guides for getting started with open science (e.g., Kathawalla, Silverstein, & Syed, 2020;Klein et al, 2018). The Open Scholarship Knowledge Base (https://www.oercommons.org/hubs/OSKB) is a repository of open science materials; as of this writing the "Teaching" section included 103 resources such as syllabi, class activities, readings, and lectures.…”

Section: Opportunities and Challengesmentioning

confidence: 99%

Open Science at Liberal Arts Colleges

Lane¹,

B²,

Ja³

et al. 2020

Preprint

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Adopting and sustaining open science practices is accompanied by particular opportunities and challenges for faculty at small liberal arts colleges (SLACs). Their predominantly undergraduate student body, small size, limited resources, substantial teaching responsibilities, and focus on intensive faculty-student interactions make it difficult to normalize open science at SLACs. However, given the unique synergy between teaching and research at SLACs, many of these practices are well-suited for work with undergraduate psychology students. In addition, the opportunities for collaboration afforded by the open science community may be especially attractive for those doing research at SLACs. In this paper, we offer suggestions for how open science can further grow and flourish among faculty who work closely with undergraduates, both in classrooms and in labs. We also discuss how to encourage professional development and transform institutional culture around open science practices. Most importantly, this paper serves as an invitation to SLAC psychology faculty to participate in the open science community.

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Easing Into Open Science: A Guide for Graduate Students and Their Advisors

Cited by 17 publications

References 17 publications

Methodological Considerations for Studying Neural Oscillations

Methodological Considerations for Studying Neural Oscillations

Navigating Open Science as Early Career Feminist Researchers

Open Science at Liberal Arts Colleges

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