Published on in Vol 19, No 2 (2017): February

Navigating Ethics in the Digital Age: Introducing Connected and Open Research Ethics (CORE), a Tool for Researchers and Institutional Review Boards

Navigating Ethics in the Digital Age: Introducing Connected and Open Research Ethics (CORE), a Tool for Researchers and Institutional Review Boards

Navigating Ethics in the Digital Age: Introducing Connected and Open Research Ethics (CORE), a Tool for Researchers and Institutional Review Boards

Authors of this article:

John Torous1, 2 Author Orcid Image ;   Camille Nebeker3, 4, 5 Author Orcid Image

Journals

  1. Pagoto S, Nebeker C. How scientists can take the lead in establishing ethical practices for social media research. Journal of the American Medical Informatics Association 2019;26(4):311 View
  2. Arigo D, Jake-Schoffman D, Wolin K, Beckjord E, Hekler E, Pagoto S. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67 View
  3. Pagoto S, Waring M, Xu R. A Call for a Public Health Agenda for Social Media Research. Journal of Medical Internet Research 2019;21(12):e16661 View
  4. Nebeker C, Bartlett Ellis R, Torous J. Development of a decision-making checklist tool to support technology selection in digital health research. Translational Behavioral Medicine 2020;10(4):1004 View
  5. Baumel A, Edan S, Kane J. Is there a trial bias impacting user engagement with unguided e-mental health interventions? A systematic comparison of published reports and real-world usage of the same programs. Translational Behavioral Medicine 2019 View
  6. Kang H, Han J, Kwon G. An Ecological Approach to Smart Homes for Health Care Services: Conceptual Framework of a Smart Servicescape Wheel. JMIR mHealth and uHealth 2019;7(2):e12425 View
  7. Martinez-Martin N, Insel T, Dagum P, Greely H, Cho M. Data mining for health: staking out the ethical territory of digital phenotyping. npj Digital Medicine 2018;1(1) View
  8. Pickersgill M. Digitising psychiatry? Sociotechnical expectations, performative nominalism and biomedical virtue in (digital) psychiatric praxis. Sociology of Health & Illness 2019;41(S1):16 View
  9. Bafeta A, Bobe J, Clucas J, Gonsalves P, Gruson-Daniel C, Hudson K, Klein A, Krishnakumar A, McCollister-Slipp A, Lindner A, Misevic D, Naslund J, Nebeker C, Nikolaidis A, Pasquetto I, Sanchez G, Schapira M, Scheininger T, Schoeller F, Sólon Heinsfeld A, Taddei F, Markel S. Ten simple rules for open human health research. PLOS Computational Biology 2020;16(9):e1007846 View
  10. Jake-Schoffman D, Silfee V, Waring M, Boudreaux E, Sadasivam R, Mullen S, Carey J, Hayes R, Ding E, Bennett G, Pagoto S. Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth 2017;5(12):e190 View
  11. Eagan S, Johnson E, Eagan L. A Paradox of Choice and Opportunity in the Social Mediated Participant Recruitment Space: Opportunities and Caveats. The American Journal of Bioethics 2019;19(6):76 View
  12. Gabay G, Bokek-Cohen Y. Infringement of the right to surgical informed consent: negligent disclosure and its impact on patient trust in surgeons at public general hospitals – the voice of the patient. BMC Medical Ethics 2019;20(1) View
  13. Clark M, Driller M. University Student’s Perceptions of Self-Tracking Devices, Data Privacy, and Sharing Digital Data for Research Purposes. Journal for the Measurement of Physical Behaviour 2020;3(2):128 View
  14. Klurfeld D, Hekler E, Nebeker C, Patrick K, Khoo C. Technology Innovations in Dietary Intake and Physical Activity Assessment: Challenges and Recommendations for Future Directions. American Journal of Preventive Medicine 2018;55(4):e117 View
  15. Waring M, Jake-Schoffman D, Holovatska M, Mejia C, Williams J, Pagoto S. Social Media and Obesity in Adults: a Review of Recent Research and Future Directions. Current Diabetes Reports 2018;18(6) View
  16. Kabacińska K, Sharma N, Kaye J, Mattek N, Kuzeljevic B, Robillard J. Investigating the concept of participant burden in aging technology research. BMC Geriatrics 2020;20(1) View
  17. Samuel G, Derrick G, van Leeuwen T. The Ethics Ecosystem: Personal Ethics, Network Governance and Regulating Actors Governing the Use of Social Media Research Data. Minerva 2019;57(3):317 View
  18. Naslund J, Aschbrenner K. Digital technology for health promotion: opportunities to address excess mortality in persons living with severe mental disorders. Evidence Based Mental Health 2019;22(1):17 View
  19. Breslin S, Shareck M, Fuller D. Research ethics for mobile sensing device use by vulnerable populations. Social Science & Medicine 2019;232:50 View
  20. Thieme A, Belgrave D, Doherty G. Machine Learning in Mental Health. ACM Transactions on Computer-Human Interaction 2020;27(5):1 View
  21. Arigo D, Pagoto S, Carter-Harris L, Lillie S, Nebeker C. Using social media for health research: Methodological and ethical considerations for recruitment and intervention delivery. DIGITAL HEALTH 2018;4 View
  22. Fuller D, Shareck M, Stanley K. Ethical implications of location and accelerometer measurement in health research studies with mobile sensing devices. Social Science & Medicine 2017;191:84 View
  23. Shaver L, Khawer A, Yi Y, Aubrey-Bassler K, Etchegary H, Roebothan B, Asghari S, Wang P. Using Facebook Advertising to Recruit Representative Samples: Feasibility Assessment of a Cross-Sectional Survey. Journal of Medical Internet Research 2019;21(8):e14021 View
  24. Hekler E, Tiro J, Hunter C, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;54(11):805 View
  25. Hunter R, Gough A, O’Kane N, McKeown G, Fitzpatrick A, Walker T, McKinley M, Lee M, Kee F. Ethical Issues in Social Media Research for Public Health. American Journal of Public Health 2018;108(3):343 View
  26. Conroy D, Hojjatinia S, Lagoa C, Yang C, Lanza S, Smyth J. Personalized models of physical activity responses to text message micro-interventions: A proof-of-concept application of control systems engineering methods. Psychology of Sport and Exercise 2019;41:172 View
  27. Torous J, Wisniewski H, Liu G, Keshavan M. Mental Health Mobile Phone App Usage, Concerns, and Benefits Among Psychiatric Outpatients: Comparative Survey Study. JMIR Mental Health 2018;5(4):e11715 View
  28. Dobkin B, Dorsch A. The Evolution of Personalized Behavioral Intervention Technology. Stroke 2017;48(8):2329 View
  29. Petrova M, Barclay S. Research approvals iceberg: how a ‘low-key’ study in England needed 89 professionals to approve it and how we can do better. BMC Medical Ethics 2019;20(1) View
  30. Torous J, Gershon A, Hays R, Onnela J, Baker J. Digital Phenotyping for the Busy Psychiatrist: Clinical Implications and Relevance. Psychiatric Annals 2019;49(5):196 View
  31. Naslund J, Aschbrenner K. Risks to Privacy With Use of Social Media: Understanding the Views of Social Media Users With Serious Mental Illness. Psychiatric Services 2019;70(7):561 View
  32. McCarthy S, O'Raghallaigh P, Woodworth S, Lim Y, Kenny L, Adam F. Embedding the Pillars of Quality in Health Information Technology Solutions Using “Integrated Patient Journey Mapping” (IPJM): Case Study. JMIR Human Factors 2020;7(3):e17416 View
  33. Louie A, Balon R, Beresin E, Coverdale J, Brenner A, Guerrero A, Roberts L. Teaching to See Behaviors—Using Machine Learning?. Academic Psychiatry 2017;41(5):625 View
  34. Nelson B, Allen N. Extending the Passive-Sensing Toolbox: Using Smart-Home Technology in Psychological Science. Perspectives on Psychological Science 2018;13(6):718 View
  35. Nebeker C, Dunseath S, Linares-Orozco R. A retrospective analysis of NIH-funded digital health research using social media platforms. DIGITAL HEALTH 2020;6 View
  36. Hays R, Keshavan M, Wisniewski H, Torous J. Deriving symptom networks from digital phenotyping data in serious mental illness. BJPsych Open 2020;6(6) View
  37. Pereira N, Avram R, So D, Iturriaga E, Byrne J, Lennon R, Murthy V, Geller N, Goodman S, Rihal C, Rosenberg Y, Bailey K, Pletcher M, Marcus G, Farkouh M, Olgin J. Rationale and design of the TAILOR-PCI digital study: Transitioning a randomized controlled trial to a digital registry. American Heart Journal 2021;232:84 View
  38. Polillo A, Voineskos A, Foussias G, Kidd S, Sav A, Hawley S, Soklaridis S, Stergiopoulos V, Kozloff N. Using Digital Tools to Engage Patients With Psychosis and Their Families in Research: Survey Recruitment and Completion in an Early Psychosis Intervention Program. JMIR Mental Health 2021;8(5):e24567 View
  39. Tu J, Gao W. Ethical Considerations of Wearable Technologies in Human Research. Advanced Healthcare Materials 2021;10(17) View
  40. Gooding P, Kariotis T. Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review. JMIR Mental Health 2021;8(6):e24668 View
  41. Shah A, O’Dwyer L, Badawy S. Telemedicine in Malignant and Nonmalignant Hematology: Systematic Review of Pediatric and Adult Studies. JMIR mHealth and uHealth 2021;9(7):e29619 View
  42. Bettis A, Burke T, Nesi J, Liu R. Digital Technologies for Emotion-Regulation Assessment and Intervention: A Conceptual Review. Clinical Psychological Science 2022;10(1):3 View
  43. Bartlett Ellis R, Wright J, Miller L, Jake-Schoffman D, Hekler E, Goldstein C, Arigo D, Nebeker C. Lessons Learned: Beta-Testing the Digital Health Checklist for Researchers Prompts a Call to Action by Behavioral Scientists. Journal of Medical Internet Research 2021;23(12):e25414 View
  44. Das S, Miki A, Blanchard C, Sazonov E, Gilhooly C, Dey S, Wolk C, Khoo C, Hill J, Shook R. Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints. Advances in Nutrition 2022;13(1):1 View
  45. Henström M, Duncanson K, Collins C, Ashton L, Davidson E, Ball R. Online reach and engagement of a child nutrition peer-education program (PICNIC): insights from social media and web analytics. BMC Public Health 2022;22(1) View
  46. Shen F, Silverman B, Monette P, Kimble S, Rauch S, Baker J. An Ethics Checklist for Digital Health Research in Psychiatry: Viewpoint. Journal of Medical Internet Research 2022;24(2):e31146 View
  47. van Rijssel T, de Jong A, Santa-Ana-Tellez Y, Boeckhout M, Zuidgeest M, van Thiel G. Ethics review of decentralized clinical trials (DCTs): Results of a mock ethics review. Drug Discovery Today 2022;27(10):103326 View
  48. Lee K, Cheongho Lee T, Yefimova M, Kumar S, Puga F, Azuero A, Kamal A, Bakitas M, Wright A, Demiris G, Ritchie C, Pickering C, Nicholas Dionne-Odom J. Using Digital phenotyping to understand health-related outcomes: A scoping review. International Journal of Medical Informatics 2023:105061 View
  49. Zawati M, Lang M. Does an App a Day Keep the Doctor Away? AI Symptom Checker Applications, Entrenched Bias, and Professional Responsibility. Journal of Medical Internet Research 2024;26:e50344 View
  50. Pretorius K. A Simple and Systematic Approach to Qualitative Data Extraction From Social Media for Novice Health Care Researchers: Tutorial. JMIR Formative Research 2024;8:e54407 View
  51. Kepper M, Fowler L, Kusters I, Davis J, Baqer M, Sagui-Henson S, Xiao Y, Tarfa A, Yi J, Gibson B, Heron K, Alberts N, Burgermaster M, Njie-Carr V, Klesges L. Expanding a Behavioral View on Digital Health Access: Drivers and Strategies to Promote Equity. Journal of Medical Internet Research 2024;26:e51355 View
  52. Morcatty T, Su S, Siriwat P, Andersson A, Atoussi S, Feddema K, Henriques S, Janssen J, Karve A, Pytka J, Thompson R, Nijman V, Wright J, Roberts D. Navigating ethical challenges in online wildlife trade research. Conservation Biology 2024;38(5) View
  53. Samuel G, Buchanan E. Guest Editorial: Ethical Issues in Social Media Research. Journal of Empirical Research on Human Research Ethics 2020;15(1-2):3 View
  54. Terhorst Y, Messner E, Asare K, Montag C, Kannen C, Baumeister H. Which Smartphone-Based Sensing Features Matter in Depression Severity Prediction? Results from an Observation Study. (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Martinez-Martin N. Ethical Dimensions of Commercial and DIY Neurotechnologies. View