Abstract
Pervasive internet and sensor technologies promise to revolutionize psychological science. However, the data collected using these technologies are often very personal—indeed, the value of the data is often directly related to how personal they are. At the same time, driven by the replication crisis, there is a sustained push to publish data to open repositories. These movements are in fundamental conflict. In this article, we propose a way to navigate this issue. We argue that there are significant advantages to be gained by ceding the ownership of data to the participants who generate the data. We then provide desiderata for a privacy-preserving platform. In particular, we suggest that researchers should use an interface to perform experiments and run analyses, rather than observing the stimuli themselves. We argue that this method not only improves privacy but will also encourage greater compliance with good research practices than is possible through open repositories.
Highlights
Pervasive internet and sensor technologies promise to revolutionize psychological science
As a consequence of the replication crisis that has occurred across multiple disciplines (Open Science Collaboration, 2015), researchers are being encouraged to share their data in open repositories, facilitating reanalysis and increasing the transparency of the scientific enterprise
Privacy and open science are on a collision course
Summary
Most empirical research in psychology either involves administering surveys across a cohort or occurs in the laboratory. We have been able to characterize the dimensionality of people’s visual experience (Sreekumar, Dennis, Doxas, Zhuang, & Belkin, 2014), to examine the neural representations of time and space over time scales up to a month (Nielson, Smith, Sreekumar, Dennis, & Sederberg, 2015), and to model the processes involved in realworld episodic memory (Dennis et al, 2017) The last of these studies illustrates the promise that ESM hold. Because of the specificity of the data, predictions could be made on an item-by-item and person-by-person basis, and the relative contributions of audio, visual, movement, and spatial information to memory performance could be assessed.1 In the laboratory, it is common for experimenters studying episodic memory to administer lists of random words for participants to study, deliberately striping away the structure that participants might exploit in their everyday memory in order to better elucidate the underlying processes. We discuss the open science movement and highlight the fundamental conflict between it and experience-sampling research
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