{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T08:44:43Z","timestamp":1780389883870,"version":"3.54.1"},"reference-count":6,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T00:00:00Z","timestamp":1508803200000},"content-version":"vor","delay-in-days":296,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["asistdl.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Proc. Assoc. Info. Sci. Tech."],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>To understand information behavior associated with self\u2010tracking and to facilitate exploration of various issues associated with quantified\u2010self data, such as data quality and data sharing, to name a few, we logged the data in self\u2010tracking health and wellness apps. Specifically, we selected 10 of the most popular health and wellness self\u2010tracking apps for both iOS and Android platforms, used these apps for a period of time, and logged data input into, generated by and exported out of the apps. The data were then grouped into categories and mapped to form a data ecosystem that can be queried to reveal latent research opportunities.<\/jats:p>","DOI":"10.1002\/pra2.2017.14505401169","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T03:35:36Z","timestamp":1508816136000},"page":"816-818","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Data ecosystem in self\u2010tracking health and wellness apps"],"prefix":"10.1002","volume":"54","author":[{"given":"Ciaran B.","family":"Trace","sequence":"first","affiliation":[{"name":"School of Information The University of Texas at Austin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine","family":"Cruz","sequence":"additional","affiliation":[{"name":"School of Information The University of Texas at Austin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daiki","family":"Yonemaru","sequence":"additional","affiliation":[{"name":"School of Information The University of Texas at Austin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information The University of Texas at Austin USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"crossref","unstructured":"Choe E. K. Lee N. B. Lee B. Pratt W.&Kientz J. A.(2014).Understanding quantified\u2010selfers' practices in collecting and exploring personal data. InProceedings of the 32nd annual ACM conference on human factors in computing systems(pp.1143\u20131152).New York NY USA:ACM.https:\/\/doi.org\/10.1145\/2556288.2557372","DOI":"10.1145\/2556288.2557372"},{"key":"e_1_2_5_3_1","doi-asserted-by":"crossref","unstructured":"Fox S. &Duggan M.(2013 January 28).Tracking for health. Retrieved April 14 2016 fromhttp:\/\/www.pewinternet.org\/2013\/01\/28\/tracking-for-health\/","DOI":"10.12968\/eqhe.2013.1.14.28"},{"key":"e_1_2_5_4_1","doi-asserted-by":"crossref","unstructured":"Li I. Dey A. &Forlizzi J.(2010).A Stage\u2010based model of personal informatics systems. InProceedings of the SIGCHI conference on human factors in computing systems(pp.557\u2013566).New York NY USA:ACM.https:\/\/doi.org\/10.1145\/1753326.1753409","DOI":"10.1145\/1753326.1753409"},{"key":"e_1_2_5_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2016.05.006"},{"key":"e_1_2_5_6_1","doi-asserted-by":"crossref","unstructured":"Rooksby J. Rost M. Morrison A.&Chalmers M. C.(2014).Personal tracking as lived informatics. InProceedings of the 32nd annual ACM conference on human factors in computing systems(pp.1163\u20131172).New York NY USA:ACM.https:\/\/doi.org\/10.1145\/2556288.2557039","DOI":"10.1145\/2556288.2557039"},{"key":"e_1_2_5_7_1","doi-asserted-by":"publisher","DOI":"10.1089\/big.2012.0002"}],"container-title":["Proceedings of the Association for Information Science and Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fpra2.2017.14505401169","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pra2.2017.14505401169","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1002\/pra2.2017.14505401169","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/pra2.2017.14505401169","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T16:24:25Z","timestamp":1761063865000},"score":1,"resource":{"primary":{"URL":"https:\/\/asistdl.onlinelibrary.wiley.com\/doi\/10.1002\/pra2.2017.14505401169"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,1]]},"references-count":6,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,1]]}},"alternative-id":["10.1002\/pra2.2017.14505401169"],"URL":"https:\/\/doi.org\/10.1002\/pra2.2017.14505401169","archive":["Portico"],"relation":{},"ISSN":["2373-9231","2373-9231"],"issn-type":[{"value":"2373-9231","type":"print"},{"value":"2373-9231","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,1]]},"assertion":[{"value":"2017-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}