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Using mobile location data in biomedical research while preserving privacy
- Publication Year :
- 2018
- Publisher :
- Oxford University Press, 2018.
-
Abstract
- Location data are becoming easier to obtain and are now bundled with other metadata in a variety of biomedical research applications. At the same time, the level of sophistication required to protect patient privacy is also increasing. In this article, we provide guidance for institutional review boards (IRBs) to make informed decisions about privacy protections in protocols involving location data. We provide an overview of some of the major categories of technical algorithms and medical–legal tools at the disposal of investigators, as well as the shortcomings of each. Although there is no “one size fits all” approach to privacy protection, this article attempts to describe a set of practical considerations that can be used by investigators, journal editors, and IRBs.
- Subjects :
- Big Data
Biomedical Research
Computer science
media_common.quotation_subject
Big data
Internet privacy
Health Informatics
03 medical and health sciences
0302 clinical medicine
Data Anonymization
Humans
Confidentiality
030212 general & internal medicine
Set (psychology)
Sophistication
media_common
Data anonymization
business.industry
Data Collection
Telemedicine
Variety (cybernetics)
Metadata
Perspective
Geographic Information Systems
Mobile location
business
030217 neurology & neurosurgery
Ethics Committees, Research
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....d7164d9560532f5f9364605c48607566