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@INPROCEEDINGS{Turna:1040650,
      author       = {Turna, Mehran and Fischer, Jona Marcus and Dukart, Jürgen
                      and Narava, Mamaka},
      title        = {{JT}rack: a digital biomarker platform for remote
                      monitoring of daily-life behaviour in health and disease},
      reportid     = {FZJ-2025-01984},
      year         = {2025},
      abstract     = {The use of research software in digital health is becoming
                      increasingly vital, particularly in the remote monitoring of
                      neurological and psychiatric conditions. My work focuses on
                      the development and implementation of the JTrack platform,
                      an open-source solution designed for continuous data
                      collection from smartphones, which serves as a scalable and
                      privacy-compliant tool for digital biomarker acquisition.
                      This software ecosystem includes JTrack Social for sensor
                      data collection, JTrack EMA for ecological momentary
                      assessment, and JDash for study management, allowing for
                      comprehensive data handling in research studies. JTrack’s
                      ability to securely collect health-related data, such as
                      motion, social interactions, and geolocation, makes it a
                      critical tool for digital phenotyping, particularly in the
                      study of diseases like Parkinson’s and other neurological
                      disorders.Our work has highlighted JTrack's potential in
                      remote assessments, using longitudinal data collected via
                      smartphones. For example, it was successfully integrated
                      with DataLad, ensuring reproducibility, scalability, and
                      data privacy in accordance with GDPR regulations.
                      Applications of this software have already been demonstrated
                      in the publications used by Jtrack. The use of research
                      software like JTrack is a promising advancement in digital
                      health, facilitating a more comprehensive understanding of
                      patient health beyond the clinical environment.In this talk,
                      I will discuss the technical architecture of JTrack, its
                      applications in ongoing research projects, and its
                      implications for future research. Specifically, I will
                      explore how research software enhances reproducibility,
                      scalability, and data security in digital health studies.
                      Moreover, the talk will highlight the lessons learned from
                      deploying these tools in real-world studies and address the
                      challenges and opportunities that lie ahead in developing
                      research software for health monitoring.By leveraging robust
                      open-source platforms, researchers and clinicians can access
                      real-time, actionable insights into patient health, paving
                      the way for innovative digital therapeutics and more
                      personalized healthcare solutions.},
      month         = {Feb},
      date          = {2025-02-26},
      organization  = {deRSE25 - 5th conference for Research
                       Software Engineering in Germany,
                       Karlsruhe (Germany), 26 Feb 2025 - 26
                       Feb 2025},
      subtyp        = {Invited},
      cin          = {INM-7},
      cid          = {I:(DE-Juel1)INM-7-20090406},
      pnm          = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
      pid          = {G:(DE-HGF)POF4-5252},
      typ          = {PUB:(DE-HGF)6},
      url          = {https://juser.fz-juelich.de/record/1040650},
}