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128276 |
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|a dc
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|a Cychosz, Margaret
|e author
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|a McGovern Institute for Brain Research at MIT
|e contributor
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|a Romeo, Rachel R
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|a Soderstrom, Melanie
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|a Scaff, Camila
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|a Ganek, Hillary
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|a Cristia, Alejandrina
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|a Casillas, Marisa
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|a de Barbaro, Kaya
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|a Bang, Janet Y.
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|a Weisleder, Adriana
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|a Longform recordings of everyday life: Ethics for best practices
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|b Springer Science and Business Media LLC,
|c 2020-10-30T19:20:01Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/128276
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|a Recent advances in large-scale data storage and processing offer unprecedented opportunities for behavioral scientists to collect and analyze naturalistic data, including from underrepresented groups. Audio data, particularly real-world audio recordings, are of particular interest to behavioral scientists because they provide high-fidelity access to subtle aspects of daily life and social interactions. However, these methodological advances pose novel risks to research participants and communities. In this article, we outline the benefits and challenges associated with collecting, analyzing, and sharing multi-hour audio recording data. Guided by the principles of autonomy, privacy, beneficence, and justice, we propose a set of ethical guidelines for the use of longform audio recordings in behavioral research. This article is also accompanied by an Open Science Framework Ethics Repository that includes informed consent resources such as frequent participant concerns and sample consent forms.
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|a en
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|a Article
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|t Behavior Research Methods
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