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Med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Data from networked sensors, such as those in our phones, are increasingly being explored and used to identify behaviors related to health and mental health. While computer scientists have referred to this field as context sensing, personal sensing, or mobile sensing, medicine has more recently adopted the term digital phenotyping. This paper discusses the implications of these labels in light of privacy concerns, arguing language that is transparent and meaningful to the people whose data we are acquiring.<\/jats:p>","DOI":"10.1038\/s41746-020-0251-5","type":"journal-article","created":{"date-parts":[[2020,3,25]],"date-time":"2020-03-25T11:03:32Z","timestamp":1585134212000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Digital phenotyping, behavioral sensing, or personal sensing: names and transparency in the digital age"],"prefix":"10.1038","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5443-7596","authenticated-orcid":false,"given":"David C.","family":"Mohr","sequence":"first","affiliation":[]},{"given":"Katie","family":"Shilton","sequence":"additional","affiliation":[]},{"given":"Matthew","family":"Hotopf","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,25]]},"reference":[{"key":"251_CR1","doi-asserted-by":"publisher","first-page":"e16","DOI":"10.2196\/mental.5165","volume":"3","author":"J Torous","year":"2016","unstructured":"Torous, J., Kiang, M. V., Lorme, J. & Onnela, J. P. New tools for new research in psychiatry: a scalable and customizable platform to empower data driven smartphone research. JMIR Ment. Health 3, e16 (2016).","journal-title":"JMIR Ment. Health"},{"key":"251_CR2","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1146\/annurev-clinpsy-032816-044949","volume":"13","author":"DC Mohr","year":"2017","unstructured":"Mohr, D. C., Zhang, M. & Schueller, S. M. Personal sensing: understanding mental health using ubiquitous sensors and machine learning. Annu. Rev. Clin. Psychol. 13, 23\u201347 (2017).","journal-title":"Annu. Rev. Clin. Psychol."},{"key":"251_CR3","doi-asserted-by":"crossref","unstructured":"Rabbi, M., Aung, M. H., Zhang, M. & Choudhary, T. 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How companies scour our digital lives for clues to our health. in New York Times (The New York Times Company, New York, NY, 2018). https:\/\/www.nytimes.com\/2018\/02\/25\/technology\/smartphones-mental-health.html."},{"key":"251_CR9","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1038\/s41576-018-0078-y","volume":"20","author":"NB Freimer","year":"2019","unstructured":"Freimer, N. B. & Mohr, D. C. Integrating behavioural health tracking in human genetics research. Nat. Rev. Genet. 20, 129\u2013130 (2019).","journal-title":"Nat. Rev. Genet."},{"key":"251_CR10","doi-asserted-by":"publisher","DOI":"10.1038\/srep01376","volume":"3","author":"Y-A de Montjoye","year":"2013","unstructured":"de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M. & Blondel, V. D. Unique in the crowd: the privacy bounds of human mobility. Sci. Rep. 3, 1376 (2013).","journal-title":"Sci. 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The language of medicine. J. R. Soc. Med. 97, 187\u2013188 (2004).","journal-title":"J. R. Soc. 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Dr. Hotopf is the principal investigator of the RADAR-CNS consortium\u2014a precompetitive public\u2013private partnership jointly funded by the Innovative Medicines Initiative and European Federation of Pharmaceutical Industries and Associations. As such, he receives research funding and in kind contributions from five pharmaceutical companies\u2014Janssen, Biogen, UCB, Lundbeck, and Merck Sharp & Dohme. Dr. Shilton has no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"45"}}