The Datafication of Health

by | Oct 3, 2017 | Research Publications

Authors:

Minna Ruckenstein 

Natasha Dow Schüll

Abstract:

Over the past decade, data-intensive logics and practices have come to affect domains of contemporary life ranging from marketing and policy making to entertainment and education; at every turn, there is evidence of “datafication” or the conversion of qualitative aspects of life into quantified data. The datafication of health unfolds on a number of different scales and registers, including data-driven medical research and public health infrastructures, clinical health care, and self-care practices. For the purposes of this review, we focus mainly on the latter two domains, examining how scholars in anthropology, sociology, science and technology studies, and media and communication studies have begun to explore the datafication of clinical and self-care practices. We identify the dominant themes and questions, methodological approaches, and analytical resources of this emerging literature, parsing these under three headings: datafied power, living with data, and data–human mediations. We conclude by urging scholars to pay closer attention to how datafication is unfolding on the “other side” of various digital divides (e.g., financial, technological, geographic), to experiment with applied forms of research and data activism, and to probe links to areas of datafication that are not explicitly related to health.

Document:

https://www.annualreviews.org/doi/10.1146/annurev-anthro-102116-041244

References:

 

  • Ajana B. 2017. Digital health and the biopolitics of the Quantified Self. Digit. Health 3:1–18
  • Al Dahdah M, Du Loû AD, Méadel C. 2015. Mobile health and maternal care: a winning combination for healthcare in the developing world? Health Policy Technol. 4:225–31
  • Anderson C. 2008. The end of theory: The data deluge makes the scientific method obsolete. Wired June 23. http://www.wired.com/science/discoveries/magazine/16-07/pb_theory
  • Andrejevic M. 2014. The big data divide. Int. J. Commun. 8:1673–89
  • Andrejevic M, Burdon M. 2015. Defining the sensor society. Telev. New Media 16:19–36
  • Armstrong D. 1995. The rise of surveillance medicine. Sociol. Health Illn. 17:393–404
  • Arora P. 2016. Bottom of the data pyramid: big data and the Global South. Int. J. Commun. 10:1681–99
  • Baack S. 2015. Datafication and empowerment: how the open data movement re-articulates notions of democracy, participation, and journalism. Big Data Soc. 2: https://doi.org/10.1177/2053951715594634
  • Barta K, Neff G. 2016. Technologies for sharing: lessons from Quantified Self about the political economy of platforms. Inf. Commun. Soc. 19:518–31
  • Beer D. 2009. Power through the algorithm? Participatory web cultures and the technological unconscious. New Media Soc. 11:985–1002
  • Bell G. 2015. The secret life of big data. See Boellstorff & Maurer 2015, pp. 7–26
  • Berg M. 2017. Making sense of sensors: self-tracking and the temporalities of wellbeing. Digit. Health 3:1–11
  • Berson J. 2015. Computable Bodies: Instrumented Life and the Human Somatic Niche. London: Bloomsbury
  • Boellstorff T. 2015. Making big data, in theory. See Boellstorff & Maurer 2015, pp. 87–108
  • Boellstorff T, Maurer B, eds. 2015. Data, Now Bigger and Better! Chicago: Prickly Paradigm Press
  • Bolnick DA, Fullwiley D, Duster T, Cooper RS, Fujimura JH, et al. 2007. The science and business of genetic ancestry testing. Science 318:399–400
  • Bowker GC. 2014. The theory/data thing. Int. J. Commun. 8:1795–99
  • boyd d, Crawford K. 2012. Critical questions for big data: provocations for a cultural, technological and scholarly phenomenon. Inf. Commun. Soc. 15:662–79
  • Bucher T. 2017. The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms. Inf. Commun. Soc. 20:30–44
  • Cheney-Lippold J. 2011. A new algorithmic identity: soft biopolitics and the modulation of control. Theory Cult. Soc. 28:164–81
  • Chib A. 2013. The promise and peril of mHealth in developing countries. Mobile Media Commun. 1:69–75
  • Chigona W, Nyemba-Mudenda M, Simphiwe Metfula A. 2013. A review on mHealth research in developing countries. J. Community Inform. 9(3). http://ci-journal.net/index.php/ciej/article/view/941/1011
  • Christophersen M, Mørck P, Langhoff TO, Bjørn P. 2015. Unforeseen challenges: adopting wearable health data tracking devices to reduce health insurance costs in organizations. In International Conference on Universal Access in Human-Computer Interaction, ed. M Antona, C Stephanidis, pp. 288–99. Berlin: Springer Int.
  • Clarke AE, Shim JK, Mamo L, Fosket JR, Fishman JR. 2003. Biomedicalization: technoscientific transformations of health, illness, and U.S. biomedicine. Am. Sociol. Rev. 68:161–94
  • Couldry N, Powell A. 2014. Big data from the bottom up. Big Data Soc. 1:1–5
  • Crawford K, Gray ML, Miltner K. 2014. Critiquing big data: politics, ethics, epistemology. Int. J. Commun. 8:1663–72
  • Crawford K, Lingel J, Karppi T. 2015. Our metrics, ourselves: a hundred years of self-tracking from the weight scale to the wrist wearable device. Eur. J. Cult. Stud. 18:479–96
  • Day C, Lury S. 2016. Biosensing: tracking persons. See Nafus 2016, pp. 43–66
  • Deleuze G. 1992. Postscript on the society of control. October 59:3–8
  • Delfanti A. 2013. Biohackers: The Politics of Open Science. London: Pluto Press
  • Delfanti A, Iaconesi S. 2016. Open source cancer: brain scans and the rituality of biodigital data sharing. In The Participatory Condition in the Digital Age, ed. D Barney, G Coleman, C Ross, J Sterne, T Tembeck, pp. 123–43. Minneapolis: Univ. Minn. Press
  • Depper A, Howe PD. 2017. Are we fit yet? English adolescent girls’ experiences of health and fitness apps. Health Sociol. Rev. 26:98–112
  • Didžiokaitė G, Saukko P, Greiffenhagen C. 2017. The mundane experience of everyday calorie trackers: beyond the metaphor of Quantified Self. New Media Soc. https://doi.org/10.1177/1461444817698478
  • Dourish P. 2016. Algorithms and their others: algorithmic culture in context. Big Data Soc. 3:1–11
  • Duclos V. 2016. The map and the territory: an ethnographic study of the low utilization of a global eHealth network. J. Inf. Technol. 31:334–46
  • Dudhwala F. 2017. Doing the self: an ethnographic analysis of the ‘Quantified Self.’ PhD Thesis, Manag. Stud., Said Bus. Sch., Univ. Oxford
  • Ellerbrok A. 2011. Playful biometrics: controversial technology through the lens of play. Sociol. Q. 52:528–47
  • Elsden C, Kirk DS, Durrant AC. 2016. A quantified past: toward design for remembering with personal informatics. Hum.-Comput. Interact. 31:518–57
  • Eveleth R. 2014. How self-tracking apps exclude women. The Atlantic, Dec. 15. https://www.theatlantic.com/technology/archive/2014/12/how-self-tracking-apps-exclude-women/383673/
  • Fiore-Gartland B, Neff D. 2015. Communication, mediation, and the expectations of data: data valences across health and wellness communities. Int. J. Commun. 9:1466–84
  • Fishman JR, McGowan ML. 2014. Will personalized medicine transform our selves? In Genetics as Social Practice: Transdisciplinary Views on Science and Culture, ed. G Werner-Felmayer, S Schicktanz, B Prainsack, pp. 29–42. Farnham, UK: Ashgate Press
  • Fotopoulou A, O’Riordan K. 2016. Training to self-care: fitness tracking, biopedagogy and the healthy consumer. Health Sociol. Rev. 26:54–68
  • Foucault M. 1973. Birth of the Clinic: An Archaeology of Medical Perception. New York: Pantheon Books
  • Foucault M. 1977. Discipline and Punish: The Birth of the Prison. New York: Pantheon Books
  • Foucault M. 1986. The History of Sexuality, Vol. 3: The Care of the Self. New York: Pantheon Books
  • Foucault M. 1988. Technologies of the self. In Technologies of the Self: A Seminar with Michel Foucault, ed. LH Martin, H Gutman, PH Hutton, pp. 16–49. Amherst: Univ. Mass. Press
  • Foucault M. 1991. Governmentality, transl. R. Braidotti. In The Foucault Effect: Studies in Governmentality, ed. G Burchell, C Gordon, P Miller, pp. 87–104. Chicago: Univ. Chicago Press
  • Foucault M. 1997. Society Must Be Defended: Lectures at the Collège de France, 1975–1976. New York: St. Martin’s Press
  • Gabrys J. 2014. Programming environments: environmentality and citizen sensing in the smart city. Environ. Plan. D: Soc. Space 32:30–48
  • Gandy OH Jr. 1993. The Panoptic Sort: A Political Economy of Personal Information. Boulder, CO: Westview Press
  • Gillespie T. 2014. The relevance of algorithms. In Media Technologies: Essays on Communication, Materiality, and Society, ed. T Gillespie, PJ Boczkowski, KA Foot, pp. 167–94. Cambridge, MA: MIT Press
  • Gilmore JN. 2016. Everywear: the quantified self and wearable fitness technologies. New Media Soc. 18:2524–39
  • Gitelman L, ed. 2013. Raw Data Is an Oxymoron. Cambridge, MA: MIT Press
  • Goetz T. 2010. The Decision Tree: Taking Control of Your Health in the New Era of Personalized Medicine. New York: Rodale
  • Greenfield L. 2016. Deep data: notes on the n of 1. See Nafus 2016, pp. 123–46
  • Gregg M. 2018. Counterproductive: A Brief History of Time Management. Durham, NC: Duke Univ. Press. In press
  • Gregory J, Bowker GC. 2016. The data citizen, the quantified self, and personal genomics. See Nafus 2016, pp. 211–22
  • Haggerty KD, Ericson RV. 2000. The surveillant assemblage. Br. J. Sociol. 51:605–22
  • Hampshire K, Porter G, Mariwah S, Munthali A, Robson E, et al. 2017. Who bears the cost of ‘informal mhealth’? Health-workers’ mobile phone practices and associated political-moral economies of care in Ghana and Malawi. Health Policy Plan. 32:34–42
  • Harris A, Kelly SE, Wyatt S. 2014. Autobiologies on YouTube: narratives of direct-to-consumer genetic testing. New Genet. Soc. 33:60–78
  • Harris A, Wyatt S, Kelly SE. 2013. The gift of spit (and the obligation to return it): how consumers of online genetic testing services participate in research. Inf. Commun. Soc. 16:236–57
  • Hogle LF. 2016. Data-intensive resourcing in healthcare. BioSocieties 11:372–93
  • Hull G, Pasquale F. 2017. Toward a critical theory of corporate wellness. BioSocieties. In press
  • Iliadis A, Russo F. 2016. Critical data studies: an introduction. Big Data Soc. July–Dec.:1–7
  • Jethani S. 2015. Mediating the body: technology, politics and epistemologies of self. Commun. Politics Cult. 473:34–43
  • Kahn J. 2014. Privatizing biomedical citizenship: risk, duty, and potential in the circle of pharmaceutical life. Minn. J. Law Sci. Technol. 15: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2464253
  • Kennedy H, Poell T, van Dijck J. 2015. Introduction: data and agency. Big Data Soc. 2: https://doi.org/10.1177/2053951715621569
  • Kitchin R. 2014. Big data, new epistemologies and paradigm shifts. Big Data Soc. 1: https://doi.org/10.1177/2053951714528481
  • Koopman C. 2014. Michel Foucault’s critical empiricism today: concepts and analytics in the critique of biopower and infopower. In Foucault Now: Current Perspectives in Foucault Studies, ed. JD Faubion, pp. 88–111. Cambridge, UK: Polity Press
  • Kragh-Furbo M, Mackenzie A, Mort M, Roberts C. 2016. Do biosensors biomedicalize? Sites of negotiation in DNA-based biosensing data practices. See Nafus 2016, pp. 5–26
  • Lash S. 2007. Power after hegemony: cultural studies in mutation? Theory Cult. Soc. 24:55–78
  • Latour B. 2005. Reassembling the Social: An Introduction to Actor-Network-Theory. Oxford, UK: Oxford Univ. Press
  • Lazar A, Koehler C, Tanenbaum J, Nguyen DH. 2015. Why we use and abandon smart devices. In Proc. ACM Int. Joint Conf. on Pervasive Ubiquitous Comput., Osaka, Jpn., pp. 635–46. New York: ACM
  • Lock MM. 1993. Encounters with Aging: Mythologies of Menopause in Japan and North America. Berkeley: Univ. Calif. Press
  • Lomborg S, Frandsen K. 2016. Self-tracking as communication. Inf. Commun. Soc. 19:1015–27
  • Lucivero F, Prainsack B. 2015. The lifestylisation of healthcare? ‘Consumer genomics’ and mobile health as technologies for healthy lifestyle. Appl. Transl. Genom. 4:44–49
  • Lupton D. 2012. M-health and health promotion: the digital cyborg and surveillance society. Soc. Theory Health 10:229–44
  • Lupton D. 2013a. The digitally engaged patient: self-monitoring and self-care in the digital health era. Soc. Theory Health 11:256–70
  • Lupton D. 2013b. Quantifying the body: monitoring and measuring health in the age of mHealth technologies. Crit. Public Health 23:393–403
  • Lupton D. 2015. Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps. Cult. Health Sex. 17:440–53
  • Lupton D. 2016a. Digital companion species and eating data: implications for theorising digital data–human assemblages. Big Data Soc. 3: https://doi.org/10.1177/2053951715619947
  • Lupton D. 2016b. The Quantified Self: A Sociology of Self-Tracking. Cambridge, UK: Polity Press
  • Lupton D. 2017. How does health feel? Towards research on the affective atmospheres of digital health. Digit. Health 3: https://doi.org/10.1177/2055207617701276
  • Lupton D, Jutel A. 2015. ‘It’s like having a physician in your pocket!’ A critical analysis of self-diagnosis smartphone apps. Soc. Sci. Med. 133:128–35
  • Lyon D. 2002. Everyday surveillance: personal data and social classifications. Inf. Commun. Soc. 5:242–57
  • Lyon D. 2014. Surveillance, Snowden, and big data: capacities, consequences, critique. Big Data Soc. 1:1–12
  • Mackenzie A. 2005. The performativity of code: software and cultures of circulation. Theory Cult. Soc. 22:71–92
  • Martin E. 2007. Taking the measure of moods and motivations. In Bipolar Expeditions: Mania and Depression in American Culture. Princeton, NJ: Princeton Univ. Press
  • Maturo A, Setiffi F. 2016. The gamification of risk: how health apps foster self-confidence and why this is not enough. Health Risk Soc. 17:477–94
  • Mayer-Schönberger V, Cukier K. 2013. Big Data: A Revolution That Will Transform How We Live, Work, and Think. Boston: Houghton Mifflin Harcourt
  • McGowan M, Choudhury S, Juengst E, Lambrix M, Settersten R, Fishman J. 2017. ‘Let’s pull these technologies out of the ivory tower’: the politics, ethos, and ironies of participant-driven genomic research. BioSocieties. https://doi.org/10.1057/s41292-017-0043-6
  • McQuillan D. 2016. Algorithmic paranoia and the convivial alternative. Big Data Soc. 3: https://doi.org/10.1177/2053951716671340
  • Mehta R, Nafus D. 2016. Atlas of Caregiving Pilot study report. March, Atlas of Caregiving. http://atlasofcaregiving.com/wp-content/uploads/2016/03/Study_Report.pdf
  • Milan S, van der Velden L. 2016. The alternative epistemologies of data activism. Digit. Cult. Soc. 2:57–74
  • Millington B. 2016. ‘Quantify the invisible’: notes toward a future of posture. Crit. Public Health 26:405–17
  • Miscione G. 2007. Telemedicine in the Upper Amazon: interplay with local health care practices. MIS Q. 31:403–25
  • Mittelstadt BD, Allo P, Taddeo M, Wachter S, Floridi L. 2016. The ethics of algorithms: mapping the debate. Big Data Soc. 3: https://doi.org/10.1177/2053951716679679
  • Mol A, Law J. 2004. Embodied action, enacted bodies: the example of hypoglycaemia. Body Soc. 10:43–62
  • Moore P, Robinson A. 2016. The quantified self: what counts in the neoliberal workplace. New Media Soc. 8:2774–94
  • Morozov E. 2014. To Save Everything, Click Here: The Folly of Technological Solutionism. New York: PublicAffairs
  • Mort M, Finch T, May C. 2009. Making and unmaking telepatients: identity and governance in new health technologies. Sci. Technol. Hum. Values 34:9–33
  • Nafus D. 2014. Stuck data, dead data, and disloyal data: the stops and starts in making numbers into social practices. Distinktion: Scand. J. Soc. Theory 15:208–22
  • Nafus D. 2016. Quantified: Biosensing Technologies in Everyday Life. Cambridge, MA: MIT Press
  • Nafus D, Neff G. 2016. Self-Tracking. Cambridge, MA: MIT Press
  • Nafus D, Sherman J. 2014. This one does not go up to 11: The Quantified Self movement as an alternative big data practice. Int. J. Commun. 8:1784–94
  • Neff G. 2013. Why big data won’t cure us. Big Data. 1:117–23
  • Nelson A. 2016. The Social Life of DNA: Race, Reparations, and Reconciliation After the Genome. Boston: Beacon Press
  • Nissenbaum H, Patterson H. 2016. Biosensing in context: health privacy in a connected world. See Nafus 2016, pp. 79–100
  • Niva M. 2017. Online weight-loss services and a calculative practice of slimming. Health 21:409–24
  • O’Neill C. 2017. Taylorism, the European science of work, and the quantified self at work. Sci. Technol. Hum. Values 42(4):600–21
  • Oudshoorn N. 2011. Telecare Technologies and the Transformation of Healthcare. Houndmills, UK: Palgrave Macmillan
  • Oxlund B. 2012. Living by numbers: the dynamic interplay of asymptotic conditions and low cost measurement technologies in the cases of two women in the Danish provinces. Suom. Antropol. 37:42–56
  • Pantzar M, Ruckenstein M. 2017. Living the metrics: self-tracking and situated objectivity. Digit. Health. http://journals.sagepub.com/doi/full/10.1177/2055207617712590
  • Pantzar M, Ruckenstein M, Mustonen V. 2017. Social rhythms of the heart. Health Sociol. Rev. 26:22–37
  • Peake B. 2015. Decolonizing design anthropology with Tinn. Blog. CASTAC.org. April 21. http://blog.castac.org/2015/04/designing-tinn
  • Pink S, Fors V. 2017. Being in a mediated world: self-tracking and the mind-body-environment. Cult. Geogr. https://doi.org/10.1177/1474474016684127
  • Piras EM, Miele F. 2017. Clinical self-tracking and monitoring technologies: negotiations in the ICT-mediated patient-provider relationship. Health Sociol. Rev. 26:38–53
  • Potts T. 2010. Life hacking and everyday rhythm. In Geographies of Rhythm: Nature, Place, Mobilities and Bodies, ed. T Edensor, pp. 33–44. Farnham, UK: Ashgate
  • Purpura S, Schwanda V, Williams K, Stubler W, Sengers P. 2011. Fit4Life: the design of a persuasive technology promoting healthy behavior and ideal weight. In Proc. SIGCHI Conf. Hum. Factors Comput. Syst., Vancouver, BC, pp. 423–32. New York: ACM
  • Pybus J, Coté M, Blanke T. 2015. Hacking the social life of big data. Big Data Soc. 2: https://doi.org/10.1177/2053951715616649
  • Rabinow P. 1992. Artificiality and enlightenment: from sociobiology to biosociality. In Essays on the Anthropology of Reason, pp. 91–111. Princeton, NJ: Princeton Univ. Press
  • Rabinow P, Rose N. 2006. Biopower today. BioSocieties 1:195–217
  • Raley R. 2013. Dataveillance and counterveillance. See Gitelman 2013, pp. 121–46
  • Rapp R. 2016. Big data, small kids: medico-scientific, familial and advocacy visions of human brains. BioSocieties 11:296–316
  • Rich E, Miah A. 2014. Understanding digital health as public pedagogy: a critical framework. Societies 4:296–315
  • Rich E, Miah A. 2017. Mobile, wearable and ingestible health technologies: towards a critical research agenda. Health Sociol. Rev. 26:84–97
  • Ruckenstein M. 2014. Visualized and interacted life: personal analytics and engagements with data doubles. Societies 4:68–84
  • Ruckenstein M. 2015. Uncovering everyday rhythms and patterns: food tracking and new forms of visibility and temporality in health care. In Techno-Anthropology in Health Informatics: Methodologies for Improving Human-Technology Relations, ed. L Botin, P Bertelsen, C Nøhr, pp. 28–40. Amsterdam: IOS Press
  • Ruckenstein M. 2016. The politics of self-tracking reconsidered. Presented at Annu. Meet. 4S, Aug., Barcelona
  • Ruckenstein M. 2017. Keeping data alive: talking DTC genetic testing. Inf. Commun. Soc. 20:1024–39
  • Ruckenstein M, Pantzar M. 2015. Datafied life: techno-anthropology as a site for exploration and experimentation. Techné: Res. Philos. Technol. 19:191–210
  • Ruppert E. 2011. Population objects: interpassive subjects. Sociology 45:218–33
  • Salmela-Leppänen T, Valtonen A, Lupton D. 2018. Affective relationships with an intimate research device. Qual. Inq. In press
  • Schüll ND. 2016a. Data for life: wearable technology and the design of self-care. BioSocieties 11:317–33
  • Schüll ND. 2016b. Tracking. In Experience: Culture, Cognition, and the Common Sense, ed. CA Jones, D Mather, R Uchill, pp. 195–203. Cambridge, MA: MIT Press
  • Schüll ND. 2017. Our metrics, ourselves. Public Books, Jan. http://www.publicbooks.org/our-metrics-ourselves/
  • Sharon T. 2015. Healthy citizenship beyond autonomy and discipline: tactical engagements with genetic testing. BioSocieties 10:295–316
  • Sharon T. 2016. The Googlization of health research: from disruptive innovation to disruptive ethics. Personal. Med. 13:563–74
  • Sharon T. 2017. Self-tracking for health and the Quantified Self: re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philos. Technol. 30:93–121
  • Sharon T, Zandbergen D. 2016. From data fetishism to quantifying selves: self-tracking practices and the other values of data. New Media Soc. https://doi.org/10.1177/1461444816636090
  • Sherman J. 2016. Data in the age of digital reproduction: reading the quantified self through Walter Benjamin. See Nafus 2016, pp. 27–42
  • Smith GJD. 2016. Surveillance, data and embodiment: on the work of being watched. Body Soc. 22:108–39
  • Smith GJD, Vonthethoff B. 2017. Health by numbers: exploring the practice and experience of datafied health. Health Sociol. Rev. 26:6–21
  • Taylor L, Broeders D. 2015. In the name of Development: Power, profit and the datafication of the global South. Geoforum 64:229–37
  • Till C. 2014. Exercise as labour: Quantified Self and the transformation of exercise into labour. Societies 4:446–62
  • Till C. 2017. Commercialising bodies: the new corporate health ethic of philanthrocapitalism. In Quantified Lives and Vital Data, ed. R Lynch, C Farrington. Basingstoke, UK: Palgrave-Macmillan. In press
  • Topol EJ. 2012. The Creative Destruction of Medicine: How the Digital Revolution Will Create Better Health Care. New York: Basic Books
  • Van Den Eede Y. 2015. Tracing the tracker: a postphenomenological inquiry into self-tracking technologies. In Postphenomenological Investigations: Essays on Human-Technology Relations, ed. R Rosenberger, P-P Verbeek, pp. 143–58. Lanham, MD: Lexington Books
  • Van Dijck J. 2014. Datafication, dataism and dataveillance: big data between scientific paradigm and ideology. Surveill. Soc. 12:197–208
  • Van Dijck J, Poell T. 2016. Understanding the promises and premises of online health platforms. Big Data Soc. 3: https://doi.org/10.1177/2053951716654173
  • Viseu A, Suchman L. 2010. Wearable augmentations: imaginaries of the informed body. In Technologized Images, Technologized Bodies, ed. J Edwards, P Harvey, P Wade, pp. 161–84. New York: Berghahn Books
  • Watson S. 2014. Stepping down: rethinking the fitness tracker. The Atlantic, Sept 25. https://www.theatlantic.com/technology/archive/2014/09/hacking-the-fitness-tracker-to-move-less-not-more/380742/
  • Whitson JR. 2013. Gaming the quantified self. Surveill. Soc. 11:163–76
  • Williamson B. 2015. Algorithmic skin: health-tracking technologies, personal analytics and the biopedagogies of digitized health and physical education. Sport Educ. Soc. 20:133–51