The data-driven healthcare movement changes the way medical researchers’ research practice, and user-generated social data is becoming an integral part of medical research and practice because it represents users’ real thoughts and emotion in the medical situation. This study focuses on text-based user-generated social data, and investigates how medical research uses social health data. The specific research objectives include (1) investigates the characteristics of the published journal articles regarding the level of acceptance of social health data by medical research; (2) identifies the value and research objectives of the use of social health data from the data characteristics; and (3) modeling how medical researchers interact with social health data from the perspective of data processing and analysis. Data collection was conducted using a series of keyword search in the MEDLINE medical literature database to identify published journal articles that use user-generated social health data as their primary data source. Content analysis was conducted on the article’s bibliographic information, assigned MeSH terms, sections of introduction and methodology of each and every journal article that meets the sampling criteria. The findings act as a guide for medical and inter-disciplinary researchers to identify research trends and to make decision on journal submission choice, and make suggestions to the data curation platforms when developing metadata schemes and marketing social health data, in order to improve data usability and findability.
|Effective start/end date||2018/08/01 → 2020/02/29|
- Social health data
- medical research
- user-generated health data
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