{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:21:36Z","timestamp":1783038096881,"version":"3.54.6"},"reference-count":35,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T00:00:00Z","timestamp":1777852800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Ministry of Trade, Industry and Energy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007053","name":"Korea Institute of Energy Technology Evaluation and Planning","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007053","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002380","name":"Hanyang University","doi-asserted-by":"publisher","award":["RS-2023-00236325"],"award-info":[{"award-number":["RS-2023-00236325"]}],"id":[{"id":"10.13039\/501100002380","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002380","name":"Hanyang University","doi-asserted-by":"publisher","award":["RS-2025-02654073"],"award-info":[{"award-number":["RS-2025-02654073"]}],"id":[{"id":"10.13039\/501100002380","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["SoftwareX"],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1016\/j.softx.2026.102706","type":"journal-article","created":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T08:55:55Z","timestamp":1779180955000},"page":"102706","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["EasyTrack: A scalable and general purpose platform for reliable data collection in mHealth studies"],"prefix":"10.1016","volume":"34","author":[{"given":"Alfred Malengo","family":"Kondoro","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kobiljon","family":"Toshnazarov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Salman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Donggeun","family":"Oh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yugyeong","family":"Jung","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uichin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9173-1575","authenticated-orcid":false,"given":"Youngtae","family":"Noh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.softx.2026.102706_bib0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3422158","article-title":"Mobile and wearable sensing frameworks for mhealth studies and applications: a systematic review","volume":"2","author":"Kumar","year":"2020","journal-title":"ACM Trans Comput Healthc"},{"key":"10.1016\/j.softx.2026.102706_bib0010","doi-asserted-by":"crossref","DOI":"10.1145\/3729488","article-title":"Incorporating uncertainty in predictive models using mobile sensing and clinical data: a case study on persistent post-surgical pain","volume":"9","author":"Xu","year":"2025","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"key":"10.1016\/j.softx.2026.102706_bib0015","doi-asserted-by":"crossref","DOI":"10.1145\/3580786","article-title":"Narrative-Based visual feedback to encourage sustained physical activity: a field trial of the WhoIsZuki mobile health platform","volume":"7","author":"Murnane","year":"2023","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"key":"10.1016\/j.softx.2026.102706_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2023.101472","article-title":"Niimpy: a toolbox for behavioral data analysis","volume":"23","author":"Ik\u00e4heimonen","year":"2023","journal-title":"Softwarex"},{"key":"10.1016\/j.softx.2026.102706_bib0025","doi-asserted-by":"crossref","first-page":"1396","DOI":"10.3390\/s20051396","article-title":"STDD: short-term depression detection with passive sensing","volume":"20","author":"Narziev","year":"2020","journal-title":"Sensors"},{"key":"10.1016\/j.softx.2026.102706_bib0030","series-title":"Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies","first-page":"1","article-title":"GLOBEM: Cross-Dataset generalization of longitudinal human behavior modeling","volume":"vol. 6","author":"Xu","year":"2023"},{"key":"10.1016\/j.softx.2026.102706_bib0035","doi-asserted-by":"crossref","DOI":"10.1145\/3699725","article-title":"Extending EV battery lifetime: digital phenotyping approach for departure time prediction","volume":"8","author":"Lee","year":"2024","journal-title":"Proc ACM Interact Mob Wearable Ubiquitous Technol"},{"key":"10.1016\/j.softx.2026.102706_bib0040","article-title":"Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches","volume":"14","author":"Donckt","year":"2024","journal-title":"Sci Rep"},{"key":"10.1016\/j.softx.2026.102706_bib0045","doi-asserted-by":"crossref","DOI":"10.3390\/s21227613","article-title":"An Open-Source wireless sensor node platform with active Node-Level reliability for monitoring applications","volume":"21","author":"Widhalm","year":"2021","journal-title":"Sensors (Basel, Switzerland)"},{"key":"10.1016\/j.softx.2026.102706_bib0050","article-title":"Data quality challenges in large-scale cyber-physical systems: a systematic review","volume":"105","author":"Alwan","year":"2021","journal-title":"Inf Syst"},{"key":"10.1016\/j.softx.2026.102706_bib0055","doi-asserted-by":"crossref","DOI":"10.2196\/20738","article-title":"Factors affecting the quality of Person-Generated wearable device data and associated challenges: rapid systematic review","volume":"9","author":"Cho","year":"2021","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.softx.2026.102706_bib0060","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3351246","article-title":"Modeling personality VS. Modeling personalidad: in-the-wild mobile data analysis in five countries suggests cultural impact on personality models","volume":"3","author":"Khwaja","year":"2019","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"10.1016\/j.softx.2026.102706_bib0065","doi-asserted-by":"crossref","first-page":"180939","DOI":"10.1109\/ACCESS.2024.3509633","article-title":"Dependability in embedded systems: a survey of fault tolerance methods and Software-Based mitigation techniques","volume":"12","author":"Solouki","year":"2024","journal-title":"IEEE Access"},{"key":"10.1016\/j.softx.2026.102706_bib0070","series-title":"Proceedings of the extended abstracts of the CHI conference on human factors in computing systems, CHI EA \u201925","article-title":"Investigating user perceptions to mitigate dropout in longitudinal passive sensing studies","author":"Kondoro","year":"2025"},{"key":"10.1016\/j.softx.2026.102706_bib0075","author":"Lee"},{"key":"10.1016\/j.softx.2026.102706_bib0080","series-title":"2023 IEEE international conference on big data and smart computing (BigComp)","first-page":"391","article-title":"Data processing pipeline of Short-Term depression detection with Large-Scale dataset","author":"Lee","year":"2023"},{"key":"10.1016\/j.softx.2026.102706_bib0085","doi-asserted-by":"crossref","DOI":"10.3390\/s23218866","article-title":"Improving depression severity prediction from passive sensing: Symptom-Profiling approach","volume":"23","author":"Akbarova","year":"2023","journal-title":"Sensors"},{"key":"10.1016\/j.softx.2026.102706_bib0090","doi-asserted-by":"crossref","first-page":"21527","DOI":"10.1109\/JIOT.2024.3375299","article-title":"SOSW: stress sensing with Off-the-Shelf smartwatches in the wild","volume":"11","author":"Toshnazarov","year":"2024","journal-title":"IEEE Internet Things J"},{"key":"10.1016\/j.softx.2026.102706_bib0095","series-title":"2023 IEEE international conference on big data and smart computing (BigComp)","first-page":"381","article-title":"WildStress: exploring rich situational contexts for stress detection in the wild","author":"Toshnazarov","year":"2023"},{"key":"10.1016\/j.softx.2026.102706_bib0100","doi-asserted-by":"crossref","DOI":"10.2196\/11734","article-title":"RADAR-base: open source mobile health platform for collecting, monitoring, and analyzing data using sensors, wearables, and mobile devices","volume":"7","author":"Ranjan","year":"2019","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.softx.2026.102706_bib0105","doi-asserted-by":"crossref","first-page":"3417","DOI":"10.21105\/joss.03417","article-title":"Beiwe: a data collection platform for High-Throughput digital phenotyping","volume":"6","author":"Onnela","year":"2021","journal-title":"J Open Source Softw"},{"key":"10.1016\/j.softx.2026.102706_bib0110","doi-asserted-by":"crossref","first-page":"6","DOI":"10.3389\/fict.2015.00006","article-title":"AWARE: mobile context instrumentation framework","volume":"2","author":"Ferreira","year":"2015","journal-title":"Front ICT"},{"key":"10.1016\/j.softx.2026.102706_bib0115","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbi.2023.104359","article-title":"AwarNS: a framework for developing context-aware reactive mobile applications for health and mental health","volume":"141","author":"Gonz\u00e1lez-P\u00e9rez","year":"2023","journal-title":"J Biomed Inform"},{"key":"10.1016\/j.softx.2026.102706_bib0120","series-title":"Proceedings of the 15th ACM conference on embedded network sensor systems","first-page":"1","article-title":"Mcerebrum: a mobile sensing software platform for development and validation of digital biomarkers and interventions","author":"Hossain","year":"2017"},{"key":"10.1016\/j.softx.2026.102706_bib0125","doi-asserted-by":"crossref","DOI":"10.2196\/12586","article-title":"A Vendor-Independent mobile health monitoring platform for digital health studies: development and usability study","volume":"7","author":"Vandenberk","year":"2019","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.softx.2026.102706_bib0130","article-title":"Enabling research and clinical use of Patient-Generated health data (the mindLAMP platform): digital phenotyping study","volume":"10","author":"Vaidyam","year":"2021","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.softx.2026.102706_bib0135","doi-asserted-by":"crossref","DOI":"10.7189\/jogh.15.03013","article-title":"Enhancing monitoring and evaluation of digital health interventions in sub-saharan africa: big data, mhealth, and dashboards","volume":"15","author":"Otorkpa","year":"2025","journal-title":"J Glob Health"},{"key":"10.1016\/j.softx.2026.102706_bib0140","article-title":"Data collection and management of mhealth, wearables, and internet of things in digital behavioral health interventions with the awesome data acquisition method (ADAM): development of a novel informatics architecture","volume":"12","author":"Pulantara","year":"2023","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.softx.2026.102706_bib0145","doi-asserted-by":"crossref","first-page":"10015","DOI":"10.1109\/ACCESS.2018.2804623","article-title":"Real-Time probabilistic data fusion for Large-Scale IoT applications","volume":"6","author":"Akbar","year":"2018","journal-title":"IEEE Access"},{"key":"10.1016\/j.softx.2026.102706_bib0150","first-page":"1","article-title":"Data pipeline approaches in serverless computing: a taxonomy, review, and research trends","volume":"11","author":"Rad","year":"2024","journal-title":"J Big Data"},{"key":"10.1016\/j.softx.2026.102706_bib0155","series-title":"Proceedings of the 2016 ACM international joint conference on pervasive and ubiquitous computing, UbiComp \u201916","first-page":"415","article-title":"Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies","author":"Xiong","year":"2016"},{"key":"10.1016\/j.softx.2026.102706_bib0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2025.102325","article-title":"AffectStream: kafka-based real-time affect monitoring system using wearable sensors","volume":"31","author":"Kim","year":"2025","journal-title":"Softwarex"},{"key":"10.1016\/j.softx.2026.102706_bib0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.softx.2025.102360","article-title":"Muscle fatigue monitoring and analysis system: myosense","volume":"32","author":"Ram\u00edrez","year":"2025","journal-title":"Softwarex"},{"key":"10.1016\/j.softx.2026.102706_bib0170","article-title":"Recommendations for the quality management of Patient-Generated health data in remote patient monitoring: mixed methods study","volume":"11","author":"Abdolkhani","year":"2021","journal-title":"JMIR Mhealth Uhealth"},{"key":"10.1016\/j.softx.2026.102706_bib0175","doi-asserted-by":"crossref","first-page":"20719","DOI":"10.1109\/JIOT.2022.3176010","article-title":"DARCAS: dynamic association regulator considering airtime over SDN-enabled framework","volume":"9","author":"Salman","year":"2022","journal-title":"IEEE Internet Things J"}],"container-title":["SoftwareX"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352711026001986?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2352711026001986?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T00:04:09Z","timestamp":1783037049000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2352711026001986"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":35,"alternative-id":["S2352711026001986"],"URL":"https:\/\/doi.org\/10.1016\/j.softx.2026.102706","relation":{},"ISSN":["2352-7110"],"issn-type":[{"value":"2352-7110","type":"print"}],"subject":[],"published":{"date-parts":[[2026,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"EasyTrack: A scalable and general purpose platform for reliable data collection in mHealth studies","name":"articletitle","label":"Article Title"},{"value":"SoftwareX","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.softx.2026.102706","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"102706"}}