This paper is in the following e-collection/theme issue:

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Crowdsourcing and Mechanical Turks (99)

Published on in Vol 14, No 2 (2012): Mar-Apr

Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem

Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem

Crowdsourced Health Research Studies: An Important Emerging Complement to Clinical Trials in the Public Health Research Ecosystem

Authors of this article:

Melanie Swan1
Article Authors Cited by (194) Tweetations (98) Metrics

Journals

  1. López J, Osorio R, Moreno L, Gomez J, López F, Vilardy A, Gutierrez J, Gomez L, Veléz F, Mastorakis N, Mladenov V, Bulucea A. Crowdsourcing as an IT help tool to determine impact in the health sector. MATEC Web of Conferences 2017;125:04018 View
  2. Bauer D, Gaff C, Dinger M, Caramins M, Buske F, Fenech M, Hansen D, Cobiac L. Genomics and personalised whole-of-life healthcare. Trends in Molecular Medicine 2014;20(9):479 View
  3. Gammon D, Strand M, Eng L, Børøsund E, Varsi C, Ruland C. Shifting Practices Toward Recovery-Oriented Care Through an E-Recovery Portal in Community Mental Health Care: A Mixed-Methods Exploratory Study. Journal of Medical Internet Research 2017;19(5):e145 View
  4. Mathews A, Conserve D, Mason H, Alston L, Rennie S, Tucker J. ‘Informed and empowered’: a mixed-methods study of crowdsourcing contests to promote uptake of HIV self-testing kits among African Americans. Journal of Virus Eradication 2020;6(2):74 View
  5. Frossard V, Dias M. O impacto da internet na interação entre pacientes: novos cenários em saúde. Interface - Comunicação, Saúde, Educação 2016;20(57):349 View
  6. Mammadovа M, Jabrayilova Z, Isayeva A. Conceptual Approach to the Use of Information Acquired in Social Media for Medial Decisions. Online Journal of Communication and Media Technologies 2020;10(2) View
  7. Yank V, Agarwal S, Loftus P, Asch S, Rehkopf D. Crowdsourced Health Data: Comparability to a US National Survey, 2013–2015. American Journal of Public Health 2017;107(8):1283 View
  8. Hazara A, Durrans K, Bhandari S. The role of patient portals in enhancing self-care in patients with renal conditions. Clinical Kidney Journal 2020;13(1):1 View
  9. Hamakawa N, Nakano R, Kogetsu A, Coathup V, Kaye J, Yamamoto B, Kato K. Landscape of Participant-Centric Initiatives for Medical Research in the United States, the United Kingdom, and Japan: Scoping Review. Journal of Medical Internet Research 2020;22(8):e16441 View
  10. Vallabh P, Lotz‐Sisitka H, O'Donoghue R, Schudel I. Mapping epistemic cultures and learning potential of participants in citizen science projects. Conservation Biology 2016;30(3):540 View
  11. Barrett M, Humblet O, Hiatt R, Adler N. Big Data and Disease Prevention: From Quantified Self to Quantified Communities. Big Data 2013;1(3):168 View
  12. Nelson S, Bowen D, Fullerton S. Third-Party Genetic Interpretation Tools: A Mixed-Methods Study of Consumer Motivation and Behavior. The American Journal of Human Genetics 2019;105(1):122 View
  13. Afshinnekoo E, Ahsanuddin S, Mason C. Globalizing and crowdsourcing biomedical research. British Medical Bulletin 2016;120(1):27 View
  14. Patou F, Ciccone N, Thorpe J, Maier A. Designing P4 healthcare interventions for managing cognitive decline and dementia: where are we at?. Journal of Engineering Design 2020;31(7):379 View
  15. Giustini D. Social Media and Clinical Trials Recruitment: Potential Benefits and Challenges. Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 2014;33(3):140 View
  16. Phuttharak J, Loke S. Exploring incentive mechanisms for mobile crowdsourcing: sense of safety in a Thai city. International Journal of Urban Sciences 2020;24(1):13 View
  17. Khazanie P, Krumholz H, Kiefe C, Kressin N, Wells B, Wang T, Peterson E. Priorities for Cardiovascular Outcomes Research. Circulation: Cardiovascular Quality and Outcomes 2017;10(7) View
  18. Weigmann K. Health research 2.0. EMBO reports 2014;15(3):223 View
  19. Feupe S, Frias P, Mednick S, McDevitt E, Heintzman N. Nocturnal Continuous Glucose and Sleep Stage Data in Adults with Type 1 Diabetes in Real-World Conditions. Journal of Diabetes Science and Technology 2013;7(5):1337 View
  20. Hoxha J, Weng C. Leveraging dialog systems research to assist biomedical researchers’ interrogation of Big Clinical Data. Journal of Biomedical Informatics 2016;61:176 View
  21. Ranard B, Ha Y, Meisel Z, Asch D, Hill S, Becker L, Seymour A, Merchant R. Crowdsourcing—Harnessing the Masses to Advance Health and Medicine, a Systematic Review. Journal of General Internal Medicine 2014;29(1):187 View
  22. Ling R, Lee J. Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study. JMIR Public Health and Surveillance 2016;2(2):e156 View
  23. Penckofer S. Lost in translation: will the ‘personal’ become ‘impersonal’ when conducting research in the age of technology?. Clinical Investigation 2012;2(6):555 View
  24. Duda M, Haber N, Daniels J, Wall D. Crowdsourced validation of a machine-learning classification system for autism and ADHD. Translational Psychiatry 2017;7(5):e1133 View
  25. Guerrini C, Contreras J. Credit for and Control of Research Outputs in Genomic Citizen Science. Annual Review of Genomics and Human Genetics 2020;21(1):465 View
  26. Tucker J. Crowdsourcing to promote HIV testing among MSM in China: study protocol for a stepped wedge randomized controlled trial. Trials 2017;18(1) View
  27. Lee Y, Arida J, Donovan H. The application of crowdsourcing approaches to cancer research: a systematic review. Cancer Medicine 2017;6(11):2595 View
  28. Borda A, Gray K, Fu Y. Research data management in health and biomedical citizen science: practices and prospects. JAMIA Open 2020;3(1):113 View
  29. Peng W, Occa A, McFarlane S, Morgan S. A Content Analysis of the Discussions about Clinical Trials on A Cancer-dedicated Online Forum. Journal of Health Communication 2019;24(12):912 View
  30. Manson H, Sullivan T, Ha P, Navarro C, Martín-Moreno J. Goals are Not Enough: Building Public Sector Capacity for Chronic Disease Prevention. Public Health Reviews 2013;35(1) View
  31. Wong A, Lauridsen H, Samartzis D, Macedo L, Ferreira P, Ferreira M. Global Consensus From Clinicians Regarding Low Back Pain Outcome Indicators for Older Adults: Pairwise Wiki Survey Using Crowdsourcing. JMIR Rehabilitation and Assistive Technologies 2019;6(1):e11127 View
  32. Dyson M, Shave K, Fernandes R, Scott S, Hartling L. Outcomes in Child Health: Exploring the Use of Social Media to Engage Parents in Patient-Centered Outcomes Research. Journal of Medical Internet Research 2017;19(3):e78 View
  33. Anderson D, Cronk R, Best L, Radin M, Schram H, Tracy J, Bartram J. Budgeting for Environmental Health Services in Healthcare Facilities: A Ten-Step Model for Planning and Costing. International Journal of Environmental Research and Public Health 2020;17(6):2075 View
  34. Tempini N, Del Savio L. Digital orphans: Data closure and openness in patient-powered networks. BioSocieties 2019;14(2):205 View
  35. Simoes J, Neff P, Schoisswohl S, Bulla J, Schecklmann M, Harrison S, Vesala M, Langguth B, Schlee W. Toward Personalized Tinnitus Treatment: An Exploratory Study Based on Internet Crowdsensing. Frontiers in Public Health 2019;7 View
  36. De Grandis G, Halgunset V. Conceptual and terminological confusion around personalised medicine: a coping strategy. BMC Medical Ethics 2016;17(1) View
  37. Shelgikar A, Anderson P, Stephens M. Sleep Tracking, Wearable Technology, and Opportunities for Research and Clinical Care. Chest 2016;150(3):732 View
  38. Callaghan C. Crowdsourced ‘R&D’ and medical research: Table 1. British Medical Bulletin 2015;115(1):67 View
  39. Du F, Plaisant C, Spring N, Shneiderman B. Visual Interfaces for Recommendation Systems. ACM Transactions on Intelligent Systems and Technology 2019;10(1):1 View
  40. Aramaki E, Shikata S, Ayaya S, Kumagaya S. Crowdsourced Identification of Possible Allergy-Associated Factors: Automated Hypothesis Generation and Validation Using Crowdsourcing Services. JMIR Research Protocols 2017;6(5):e83 View
  41. Wazny K. Crowdsourcing’s ten years in: A review. Journal of Global Health 2017;7(2) View
  42. Wang L, Xia E, Li H, Wang W. A Bibliometric Analysis of Crowdsourcing in the Field of Public Health. International Journal of Environmental Research and Public Health 2019;16(20):3825 View
  43. Sims M, Hodges Shaw M, Gilbertson S, Storch J, Halterman M. Legal and ethical issues surrounding the use of crowdsourcing among healthcare providers. Health Informatics Journal 2019;25(4):1618 View
  44. Oprescu F, Campo S, Lowe J, Andsager J, Morcuende J. Online Information Exchanges for Parents of Children With a Rare Health Condition: Key Findings From an Online Support Community. Journal of Medical Internet Research 2013;15(1):e16 View
  45. Cai C, Gippel J, Zhu Y, Singh A. The power of crowds: Grand challenges in the Asia-Pacific region. Australian Journal of Management 2019;44(4):551 View
  46. Ben-Sasson A, Ben-Sasson E, Jacobs K, Malinovitch R. The relationship between users’ technology approaches and experiences in a child development mobile application. Health and Technology 2020;10(5):1079 View
  47. Frewin S, Church S. Midwives' evaluation of their role in crowdsourcing activities to improve the maternity experience: part 1. British Journal of Midwifery 2019;27(6):368 View
  48. Luengo-Oroz M, Arranz A, Frean J. Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears. Journal of Medical Internet Research 2012;14(6):e167 View
  49. Lavallee D, Comstock B, Scott M, Avins A, Nerenz D, Edwards T, Patrick D, Lawrence S, Bauer Z, Truitt A, Jarvik J. Study of Methods for Assessing Research Topic Elicitation and pRioritization (SMARTER): Study Protocol to Compare Qualitative Research Methods and Advance Patient Engagement in Research. JMIR Research Protocols 2017;6(9):e168 View
  50. Fadda M, Jobin A, Blasimme A, Greshake Tzovaras B, Price Ball M, Vayena E. User Perspectives of a Web-Based Data-Sharing Platform (Open Humans) on Ethical Oversight in Participant-Led Research: Protocol for a Quantitative Study. JMIR Research Protocols 2018;7(11):e10939 View
  51. Bejarano H, Kaplan H, Rassenti S. Dynamic optimization and conformity in health behavior and life enjoyment over the life cycle. Frontiers in Behavioral Neuroscience 2015;9 View
  52. Callaghan C. The Probabilistic Innovation Field of Scientific Enquiry. International Journal of Sociotechnology and Knowledge Development 2017;9(2):56 View
  53. Tauginienė L, Butkevičienė E, Vohland K, Heinisch B, Daskolia M, Suškevičs M, Portela M, Balázs B, Prūse B. Citizen science in the social sciences and humanities: the power of interdisciplinarity. Palgrave Communications 2020;6(1) View
  54. Cui L, Carter R, Zhang G. Evaluation of a Novel Conjunctive Exploratory Navigation Interface for Consumer Health Information: A Crowdsourced Comparative Study. Journal of Medical Internet Research 2014;16(2):e45 View
  55. Skylakha S, Sakthivel P, Arunselvan K. Empirical study on application of machine learning techniques for resource allocation in health care using KPI. The Journal of Supercomputing 2020;76(4):2266 View
  56. Jindal G. An online card‐sorting study to inform the initial low‐fidelity design of a crowdsourced health information system for individuals who have chronic health conditions seeking local health‐related resources. Human Behavior and Emerging Technologies 2020;2(2):128 View
  57. Wicks P, Stamford J, Grootenhuis M, Haverman L, Ahmed S. Innovations in e-health. Quality of Life Research 2014;23(1):195 View
  58. Mathews A, Farley S, Hightow-Weidman L, Muessig K, Rennie S, Tucker J. Crowdsourcing and community engagement: a qualitative analysis of the 2BeatHIV contest. Journal of Virus Eradication 2018;4(1):30 View
  59. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  60. Yu B, Willis M, Sun P, Wang J. Crowdsourcing Participatory Evaluation of Medical Pictograms Using Amazon Mechanical Turk. Journal of Medical Internet Research 2013;15(6):e108 View
  61. Turner-McGrievy G, Helander E, Kaipainen K, Perez-Macias J, Korhonen I. The use of crowdsourcing for dietary self-monitoring: crowdsourced ratings of food pictures are comparable to ratings by trained observers. Journal of the American Medical Informatics Association 2015;22(e1):e112 View
  62. Moreira A, Alonso-Calvo R, Muñoz A, Crespo J. Measuring Relevant Information in Health Social Network Conversations and Clinical Diagnosis Cases. International Journal of Environmental Research and Public Health 2018;15(12):2787 View
  63. Naslund J, Aschbrenner K, Marsch L, McHugo G, Bartels S. Crowdsourcing for conducting randomized trials of internet delivered interventions in people with serious mental illness: A systematic review. Contemporary Clinical Trials 2015;44:77 View
  64. Bevelander K, Kaipainen K, Swain R, Dohle S, Bongard J, Hines P, Wansink B, Barengo N. Crowdsourcing Novel Childhood Predictors of Adult Obesity. PLoS ONE 2014;9(2):e87756 View
  65. Dadich A. Citizen social science: a methodology to facilitate and evaluate workplace learning in continuing interprofessional education. Journal of Interprofessional Care 2014;28(3):194 View
  66. Bhardwaj P, Kumar J, Yadav R. Patients Driving the Clinical Trial Designs – Democracy in Clinical Research. Reviews on Recent Clinical Trials 2019;14(4):237 View
  67. Ortiz-Ruiz A, Postigo M, Gil-Casanova S, Cuadrado D, Bautista J, Rubio J, Luengo-Oroz M, Linares M. Plasmodium species differentiation by non-expert on-line volunteers for remote malaria field diagnosis. Malaria Journal 2018;17(1) View
  68. Du F, Plaisant C, Spring N, Crowley K, Shneiderman B. EventAction. ACM Transactions on Interactive Intelligent Systems 2019;9(4):1 View
  69. Vayena E, Brownsword R, Edwards S, Greshake B, Kahn J, Ladher N, Montgomery J, O'Connor D, O'Neill O, Richards M, Rid A, Sheehan M, Wicks P, Tasioulas J. Research led by participants: a new social contract for a new kind of research. Journal of Medical Ethics 2016;42(4):216 View
  70. Turrini M. Online Genomes: Problematizing the disruptiveness of direct‐to‐consumer genetic tests. Sociology Compass 2018;12(11) View
  71. Lupton D. Health promotion in the digital era: a critical commentary. Health Promotion International 2015;30(1):174 View
  72. Linares M, Postigo M, Cuadrado D, Ortiz-Ruiz A, Gil-Casanova S, Vladimirov A, García-Villena J, Nuñez-Escobedo J, Martínez-López J, Rubio J, Ledesma-Carbayo M, Santos A, Bassat Q, Luengo-Oroz M. Collaborative intelligence and gamification for on-line malaria species differentiation. Malaria Journal 2019;18(1) View
  73. Almalki M, Gray K, Martin-Sanchez F. Activity Theory as a Theoretical Framework for Health Self-Quantification: A Systematic Review of Empirical Studies. Journal of Medical Internet Research 2016;18(5):e131 View
  74. Hesse B, Cole G, Powe B. Partnering Against Cancer Today: A Blueprint for Coordinating Efforts Through Communication Science. JNCI Monographs 2013;2013(47):233 View
  75. Wu D, Ong J, Tang W, Ritchwood T, Walker J, Iwelunmor J, Tucker J. Crowdsourcing Methods to Enhance HIV and Sexual Health Services: A Scoping Review and Qualitative Synthesis. JAIDS Journal of Acquired Immune Deficiency Syndromes 2019;82(3):S271 View
  76. Katic B, Heywood J, Turek F, Chiauzzi E, Vaughan T, Simacek K, Wicks P, Jain S, Winrow C, Renger J. New approach for analyzing self-reporting of insomnia symptoms reveals a high rate of comorbid insomnia across a wide spectrum of chronic diseases. Sleep Medicine 2015;16(11):1332 View
  77. Wazny K. Applications of crowdsourcing in health: an overview. Journal of Global Health 2018;8(1) View
  78. Swan M. The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery. Big Data 2013;1(2):85 View
  79. Lavallee D, Wicks P, Alfonso Cristancho R, Mullins C. Stakeholder engagement in patient-centered outcomes research: high-touch or high-tech?. Expert Review of Pharmacoeconomics & Outcomes Research 2014;14(3):335 View
  80. Ainsworth J, Buchan I. Combining Health Data Uses to Ignite Health System Learning. Methods of Information in Medicine 2015;54(06):479 View
  81. Fernández D, Harel D, Ipeirotis P, McAllister T. Statistical considerations for crowdsourced perceptual ratings of human speech productions. Journal of Applied Statistics 2019;46(8):1364 View
  82. Talikka M, Bukharov N, Hayes W, Hofmann-Apitius M, Alexopoulos L, Peitsch M, Hoeng J. Novel approaches to develop community-built biological network models for potential drug discovery. Expert Opinion on Drug Discovery 2017:1 View
  83. Good B, Su A. Crowdsourcing for bioinformatics. Bioinformatics 2013;29(16):1925 View
  84. Katsanis S, Katsanis N. Molecular genetic testing and the future of clinical genomics. Nature Reviews Genetics 2013;14(6):415 View
  85. Albert N, Daniels J, Schwartz J, Du M, Wall D. GapMap: Enabling Comprehensive Autism Resource Epidemiology. JMIR Public Health and Surveillance 2017;3(2):e27 View
  86. Rounds T, Bongard J, Hines P, Harvey J. A crowdsourcing approach to understand weight and weight loss in men. Preventive Medicine Reports 2019;13:224 View
  87. O’Connor D. The Apomediated World: Regulating Research When Social Media Has Changed Research. Journal of Law, Medicine & Ethics 2013;41(2):470 View
  88. Rivera-Romero O, Konstantinidis S, Denecke K, Gabarrón E, Petersen C, Househ M, Merolli M, Mayer M. Ethical Considerations for Participatory Health through Social Media: Healthcare Workforce and Policy Maker Perspectives. Yearbook of Medical Informatics 2020;29(01):071 View
  89. Eggleston E, Weitzman E. Innovative Uses of Electronic Health Records and Social Media for Public Health Surveillance. Current Diabetes Reports 2014;14(3) View
  90. Purdam K. Citizen social science and citizen data? Methodological and ethical challenges for social research. Current Sociology 2014;62(3):374 View
  91. Dwyer A, Quinton R, Morin D, Pitteloud N. Identifying the unmet health needs of patients with congenital hypogonadotropic hypogonadism using a web-based needs assessment: implications for online interventions and peer-to-peer support. Orphanet Journal of Rare Diseases 2014;9(1):83 View
  92. Wiley M, Jin C, Hristidis V, Esterling K. Pharmaceutical drugs chatter on Online Social Networks. Journal of Biomedical Informatics 2014;49:245 View
  93. Geofrey A, Kipanyula M, Fue K, Sanga C. Understanding Strategies for Implementing Integrated Information Systems for Rabies Surveillance. International Journal of User-Driven Healthcare 2017;7(1):13 View
  94. Piras E, Cabitza F, Lewkowicz M, Bannon L. Personal Health Records and Patient-Oriented Infrastructures: Building Technology, Shaping (New) Patients, and Healthcare Practitioners. Computer Supported Cooperative Work (CSCW) 2019;28(6):1001 View
  95. Coley H, Sadasivam R, Williams J, Volkman J, Schoenberger Y, Kohler C, Sobko H, Ray M, Allison J, Ford D, Gilbert G, Houston T. Crowdsourced Peer- Versus Expert-Written Smoking-Cessation Messages. American Journal of Preventive Medicine 2013;45(5):543 View
  96. Hamer S. Guest editorial: Science, technology, innovation and research: the ultimate conundrum?. Journal of Research in Nursing 2012;17(6):516 View
  97. Ajana B. Digital health and the biopolitics of the Quantified Self. DIGITAL HEALTH 2017;3 View
  98. Torr-Brown S. Crowdsourced Science and Genetic Insights for Personalizing Medicine: Beginning to Deliver the Goods. Personalized Medicine 2012;9(6):569 View
  99. Kempner J, Bailey J. Collective self-experimentation in patient-led research: How online health communities foster innovation. Social Science & Medicine 2019;238:112366 View
  100. Kennedy C, Powell J, Payne T, Ainsworth J, Boyd A, Buchan I. Active Assistance Technology for Health-Related Behavior Change: An Interdisciplinary Review. Journal of Medical Internet Research 2012;14(3):e80 View
  101. Swan M. Health 2050: The Realization of Personalized Medicine through Crowdsourcing, the Quantified Self, and the Participatory Biocitizen. Journal of Personalized Medicine 2012;2(3):93 View
  102. Vayena E, Tasioulas J. Adapting Standards: Ethical Oversight of Participant-Led Health Research. PLoS Medicine 2013;10(3):e1001402 View
  103. Jane Budge E, Maria Tsoti S, James Howgate D, Sivakumar S, Jalali M. Collective intelligence for translational medicine: Crowdsourcing insights and innovation from an interdisciplinary biomedical research community. Annals of Medicine 2015;47(7):570 View
  104. Daniels J, Schwartz J, Albert N, Du M, Wall D. The GapMap project: a mobile surveillance system to map diagnosed autism cases and gaps in autism services globally. Molecular Autism 2017;8(1) View
  105. Kim A, Lieberman A, Dench D. Crowdsourcing data collection of the retail tobacco environment: case study comparing data from crowdsourced workers to trained data collectors. Tobacco Control 2015;24(e1):e6 View
  106. Paul J, Buytaert W, Allen S, Ballesteros‐Cánovas J, Bhusal J, Cieslik K, Clark J, Dugar S, Hannah D, Stoffel M, Dewulf A, Dhital M, Liu W, Nayaval J, Neupane B, Schiller A, Smith P, Supper R. Citizen science for hydrological risk reduction and resilience building. WIREs Water 2018;5(1) View
  107. Lunn M, Capriotti M, Flentje A, Bibbins-Domingo K, Pletcher M, Triano A, Sooksaman C, Frazier J, Obedin-Maliver J, Withers M. Using mobile technology to engage sexual and gender minorities in clinical research. PLOS ONE 2019;14(5):e0216282 View
  108. Sze Y, Stein J, Bickel W, Paluch R, Epstein L. Bleak Present, Bright Future: Online Episodic Future Thinking, Scarcity, Delay Discounting, and Food Demand. Clinical Psychological Science 2017;5(4):683 View
  109. Mathews A, Farley S, Blumberg M, Knight K, Hightow-Weidman L, Muessig K, Rennie S, Tucker J. HIV cure research community engagement in North Carolina: a mixed-methods evaluation of a crowdsourcing contest. Journal of Virus Eradication 2017;3(4):223 View
  110. Szkuta K, Osimo D. Rebooting science? Implications of science 2.0 main trends for scientific method and research institutions. Foresight 2016;18(3):204 View
  111. Wicks P. E-mental health: A medium reaches maturity. Journal of Mental Health 2012;21(4):332 View
  112. Kreitmair K, Cho M, Magnus D. Consent and engagement, security, and authentic living using wearable and mobile health technology. Nature Biotechnology 2017;35(7):617 View
  113. Rubenstein E. Rituals of introduction and revolving roles: Socialization in an online breast cancer community. Library & Information Science Research 2015;37(4):353 View
  114. Merolli M, Busuttil M, Wåhlin C, Green A. Global communication practices of physiotherapists on Twitter. European Journal of Physiotherapy 2019;21(1):20 View
  115. Yea S, Yang C, Kim C. Design Korean Medicine Health Information Model with Health 2.0 Framework. The Journal of the Korea Contents Association 2013;13(11):807 View
  116. Brady C, Villanti A, Pearson J, Kirchner T, Gupta O, Shah C. Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing. Journal of Medical Internet Research 2014;16(10):e233 View
  117. Saunders D, Bex P, Woods R. Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection. Journal of Medical Internet Research 2013;15(5):e100 View
  118. Annad O, Bendaoud A, Goria S. Web information monitoring and crowdsourcing for promoting and enhancing the Algerian geoheritage. Arabian Journal of Geosciences 2017;10(13) View
  119. Tariq Q, Daniels J, Schwartz J, Washington P, Kalantarian H, Wall D, Saria S. Mobile detection of autism through machine learning on home video: A development and prospective validation study. PLOS Medicine 2018;15(11):e1002705 View
  120. Lau S, Choi K, Chen J, Mak W, Yeung H, Tucker J, Wong W. Study protocol for a peer-led web-based intervention to promote safe usage of dating applications among young adults: a cluster randomized controlled trial. Trials 2019;20(1) View
  121. Leon-Sanz P. Key Points for an Ethical Evaluation of Healthcare Big Data. Processes 2019;7(8):493 View
  122. Wexler A, Hamilton R. Crowdsourced tDCS Research: Feasible or Fanciful?. AJOB Neuroscience 2017;8(1):50 View
  123. Lupton D. The commodification of patient opinion: the digital patient experience economy in the age of big data. Sociology of Health & Illness 2014;36(6):856 View
  124. Pasman W, Boessen R, Donner Y, Clabbers N, Boorsma A. Effect of Caffeine on Attention and Alertness Measured in a Home-Setting, Using Web-Based Cognition Tests. JMIR Research Protocols 2017;6(9):e169 View
  125. Crangle C, Bradley C, Carlin P, Esterhay R, Harper R, Kearney P, McCarthy V, McTear M, Savage E, Tuttle M, Wallace J, Atkin S. Exploring patient information needs in type 2 diabetes: A cross sectional study of questions. PLOS ONE 2018;13(11):e0203429 View
  126. Kelty C, Panofsky A. Disentangling Public Participation In Science and Biomedicine. Genome Medicine 2014;6(1) View
  127. Winickoff D, Jamal L, Anderson N. New modes of engagement for big data research. Journal of Responsible Innovation 2016;3(2):169 View
  128. Probst T, Pryss R, Langguth B, Spiliopoulou M, Landgrebe M, Vesala M, Harrison S, Schobel J, Reichert M, Stach M, Schlee W. Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?. Frontiers in Aging Neuroscience 2017;9 View
  129. Pah A, Rasmussen-Torvik L, Goel S, Greenland P, Kho A. Big Data: What Is It and What Does It Mean for Cardiovascular Research and Prevention Policy. Current Cardiovascular Risk Reports 2015;9(1) View
  130. Koufopoulos J, Conner M, Gardner P, Kellar I. A Web-Based and Mobile Health Social Support Intervention to Promote Adherence to Inhaled Asthma Medications: Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(6):e122 View
  131. Bastian T, Maire A, Dugas J, Ataya A, Villars C, Gris F, Perrin E, Caritu Y, Doron M, Blanc S, Jallon P, Simon C. Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough. Journal of Applied Physiology 2015;118(6):716 View
  132. Anderson D, Cronk R, Fejfar D, Pak E, Cawley M, Bartram J. Safe Healthcare Facilities: A Systematic Review on the Costs of Establishing and Maintaining Environmental Health in Facilities in Low- and Middle-Income Countries. International Journal of Environmental Research and Public Health 2021;18(2):817 View
  133. Morton C. Innovating Openly: Researchers and Patients Turn to Crowdsourcing to Collaborate on Clinical Trials, Drug Discovery, and More. IEEE Pulse 2014;5(1):63 View
  134. Denecke K, Gabarron E, Petersen C, Merolli M. Defining participatory health informatics – a scoping review. Informatics for Health and Social Care 2021;46(3):234 View
  135. Radu R, Hernández-Ortega S, Borrega O, Palmeri A, Athanasiou D, Brooke N, Chapí I, Le Corvec A, Guglieri M, Perera-Lluna A, Garrido-Aguirre J, Ryll B, Nafria Escalera B. Global Collaborative Social Network (Share4Rare) to Promote Citizen Science in Rare Disease Research: Platform Development Study. JMIR Formative Research 2021;5(3):e22695 View
  136. David M, Tataru C, Daniels J, Schwartz J, Keating J, Hampton-Marcell J, Gottel N, Gilbert J, Wall D, Cope E. Children with Autism and Their Typically Developing Siblings Differ in Amplicon Sequence Variants and Predicted Functions of Stool-Associated Microbes. mSystems 2021;6(2) View
  137. Graziuso G, Mancini S, Francavilla A, Grimaldi M, Guarnaccia C. Geo-Crowdsourced Sound Level Data in Support of the Community Facilities Planning. A Methodological Proposal. Sustainability 2021;13(10):5486 View
  138. Kheirinejad S, Alorwu A, Visuri A, Hosio S. Contrasting the Expectations and Experiences Related to Mobile Health Use for Chronic Pain: Questionnaire Study. JMIR Human Factors 2022;9(3):e38265 View
  139. Guzmen-Carmeli S, Rier D. Entrepreneurial treatment activism for undone science: mannitol and Parkinson’s disease. BioSocieties 2023;18(1):128 View
  140. Ward E, Bartolone S, Sharma P, Chancellor M, Lamb L. Using social media to crowdsource collection of urine samples during a national pandemic. International Urology and Nephrology 2022;54(3):493 View
  141. Fattah S, Bouguettaya A, Mistry S. Long-Term IaaS Selection Using Performance Discovery. IEEE Transactions on Services Computing 2022;15(4):2129 View
  142. Stewart C, Ranjan Y, Conde P, Rashid Z, Sankesara H, Bai X, Dobson R, Folarin A. Investigating the Use of Digital Health Technology to Monitor COVID-19 and Its Effects: Protocol for an Observational Study (Covid Collab Study). JMIR Research Protocols 2021;10(12):e32587 View
  143. Hou X, Wu T, Chen Z, Zhou L. Success Factors of Medical Crowdfunding Campaigns: Systematic Review. Journal of Medical Internet Research 2022;24(3):e30189 View
  144. Ciasullo M, Carli M, Lim W, Palumbo R. An open innovation approach to co-produce scientific knowledge: an examination of citizen science in the healthcare ecosystem. European Journal of Innovation Management 2022;25(6):365 View
  145. Rothstein M, Wilbanks J, Beskow L, Brelsford K, Brothers K, Doerr M, Evans B, Hammack-Aviran C, McGowan M, Tovino S. Unregulated Health Research Using Mobile Devices: Ethical Considerations and Policy Recommendations. Journal of Law, Medicine & Ethics 2020;48(S1):196 View
  146. Palumbo R, Manesh M, Sorrentino M. Mapping the State of the Art to Envision the Future of Large-Scale Citizen Science Projects: An Interpretive Review. International Journal of Innovation and Technology Management 2022;19(04) View
  147. Sahandi Far M, Stolz M, Fischer J, Eickhoff S, Dukart J. JTrack: A Digital Biomarker Platform for Remote Monitoring of Daily-Life Behaviour in Health and Disease. Frontiers in Public Health 2021;9 View
  148. Bosneagu R, Rusu I, Gifu D, Scurtu I, Lupu S, Lupu C, Patrau D, Coca C. Crowdsourcing in Biomedicine using a Multi-use Floating Platform. Procedia Computer Science 2023;225:1937 View
  149. Bianchi E, Bencharit L, Murnane E, Altaf B, Douglas I, Landay J, Billington S. Effects of architectural interventions on psychological, cognitive, social, and pro-environmental aspects of occupant well-being: Results from an immersive online study. Building and Environment 2024;253:111293 View
  150. Grant A, Wolf G, Nebeker C. Approaches to governance of participant-led research: a qualitative case study. BMJ Open 2019;9(4):e025633 View
  151. Hamm M, Chisholm A, Shulhan J, Milne A, Scott S, Given L, Hartling L. Social media use among patients and caregivers: a scoping review. BMJ Open 2013;3(5):e002819 View
  152. David M, Tataru C, Daniels J, Schwartz J, Keating J, Hampton-Marcell J, Gottel N, Gilbert J, Wall D, Cope E. Children with Autism and Their Typically Developing Siblings Differ in Amplicon Sequence Variants and Predicted Functions of Stool-Associated Microbes. mSystems 2021;6(2) View
  153. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-generated Health Data Research Using Mobile Devices: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View
  154. Bassi H, Misener L, Johnson A. Crowdsourcing for Research: Perspectives From a Delphi Panel. Sage Open 2020;10(4) View
  155. Mickelsson M, Thifhulufhelwi R, Mvulane P, Brownell F, Russell C, Lotz-Sisitka H. Bringing river health into being with citizen science: River commons co-learning and practice. South African Journal of Science 2024;120(9/10) View
  156. Pearce E, Majid A, Brown T, Shepherd R, Rising C, Wilsnack C, Thompson A, Gilkey M, Ribisl K, Lazard A, Han P, Werner-Lin A, Hutson S, Savage S. “Crying in the wilderness” the use of online support in telomere biology disorders: thematic analysis (Preprint). JMIR Formative Research 2024 View
  157. Isaac A, Kapetanakis T, Thibeault E, Chatburn L, Mackenzie M. Patient Perception and Experience of Laparoscopic Excision versus Ablation of Endometriosis: A Crowd-Sourced Comparative Evaluation of Symptom and Quality of Life Outcomes. Journal of Minimally Invasive Gynecology 2024 View

Books/Policy Documents

  1. Chiauzzi E, Eichler G, Wicks P. Oncology Informatics. View
  2. Heyen N. Lifelogging. View
  3. Pontinen M, Wang J, Bouton C. Re-inventing Drug Development. View
  4. Rusko R, Härkönen K, Petäjäniemi S. Digital Entrepreneurship and Global Innovation. View
  5. Mensah E, Goderre J. Public Health Informatics and Information Systems. View
  6. Davis H, Watson A, Bakerson M. Elicited Metaphor Analysis in Educational Discourse. View
  7. Wicks P, Little M. Handbook of Human Computation. View
  8. Omidvar-Tehrani B. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. View
  9. Harrington E. Academic Libraries and Public Engagement with Science and Technology. View
  10. Antolín-Amérigo D, Alvarez-Perea A, Popescu F. Implementing Precision Medicine in Best Practices of Chronic Airway Diseases. View
  11. Callaghan C. Crowdsourcing. View
  12. Katsanis S, Katsanis N. Genomic and Precision Medicine. View
  13. Wu A, Tse S, Balli F. Precision in Pulmonary, Critical Care, and Sleep Medicine. View
  14. Hartzler A, Huh J. Consumer Health Informatics. View
  15. Geofrey A, Kipanyula M, Fue K, Sanga C. Veterinary Science. View
  16. Hall D, Hibbert A, Vesala M, Kerr M, Harrison S. Tinnitus - An Interdisciplinary Approach Towards Individualized Treatment: From Heterogeneity to Personalized Medicine. View
  17. Sabel C, Amegbor P, Zhang Z, Chen T, Poulsen M, Hertel O, Sigsgaard T, Horsdal H, Pedersen C, Khan J. Urban Informatics. View
  18. Cornford T, Lichtner V. ICT Critical Infrastructures and Society. View
  19. Wijerathna N, Matsubara M, Morishima A. Human Interface and the Management of Information: Visual and Information Design. View
  20. Davis E. Data Science – Analytics and Applications. View
  21. Antoniou J, Tringides O. Effects of Data Overload on User Quality of Experience. View
  22. Ren S, Shen B. Translational Informatics. View