دانلود رایگان مقاله انگلیسی حریم خصوصی در پژوهش های کلان داده های روانپزشکی و رفتاری - الزویر 2018

عنوان فارسی
حریم خصوصی در پژوهش های کلان داده های روانپزشکی و رفتاری: مطالعه چند مورد
عنوان انگلیسی
Privacy in Big Data psychiatric and behavioural research: A multiple-case study
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
5
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E10174
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
مدیریت سیستم های اطلاعات
مجله
مجله بین المللی حقوق و روانشناسی - International Journal of Law and Psychiatry
دانشگاه
Department of Medical Humanities - Julius Center for Health and Primary Care - University Medical Center - the Netherlands
کلمات کلیدی
کلان داده، روانپزشکی، پژوهش، حریم خصوصی، تحقیق کیفی
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.ijlp.2018.07.002
چکیده

abstract


In Big Data health research, concerns have risen about privacy and data protection. While the ethical and legal discussion about these issues is ongoing, so is research practice. The aim of this qualitative case study is to gain more insight into how these concerns are currently dealt with in practice. For this multiple-case study, the YOUth cohort, a longitudinal cohort focusing on psychosocial development, and Big Data Psychiatry, a pilot study in Big Data analytics on psychiatric health data, were selected. A broad range of relevant documents were collected and semi-structured interviews with stakeholders were conducted. Data were coded, studied and divided into themes during an iterative analytical process. Three themes emerged: abandoning anonymisation, reconfiguring participant control, and the search for guidance and expertise. Overall, the findings show that it takes considerable effort to take privacy and data protection norms into account in a Big Data health research initiative, especially when individual participant level data need to be linked or enriched. By embracing the complexity of the law in an early phase, setbacks could be prevented, the existing flexibility within the law could be utilised, and systems or organisations could be designed and constructed to take relevant rules into account. Our paper illustrates that a close collaboration of experts with different backgrounds within the initiative may be necessary to be able to successfully navigate this process.

نتیجه گیری

Concluding remarks


Overall, the findings show that it takes considerable effort to take privacy and data protection norms into account in a data-intensive health research initiative, especially when individual level data need to be linked or enriched. By embracing the complexity of the law in the initiative in an early phase, setbacks can be prevented, the existing flexibility within the law can be utilised where appropriate, and systems or organisations can be designed and developed so that they take relevant rules into account. The cases and discussion illustrate that a close collaboration of experts with different backgrounds within the initiative may be necessary to be able to successfully navigate this process.


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