2016/06/04 by Marta Vos, Vos, Marta
Computer Science · Decision Sciences · #Advanced Text Analysis Techniques #Cloud Data Security Solutions #Computers and Society (cs.CY) #Data Quality and Management #Digital Libraries (cs.DL) #FOS: Computer and information sciences #Technology Adoption and User Behaviour
paper · pdf · doi:10.48550/arxiv.1606.01452
openalex publication_date 2016/06/04 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
Periodically researchers examine their fields of research in order to test\nthe fields maturity, to determine theories and methods used, and to uncover\nareas of research emphasis. Research articles for these studies are generally\nlocated through keyword search, then manually read and coded in order to\nsummarise the research field. This research tests using metadata analysis\nalone, on the internet of things (IoT) research field, using data extracted\nfrom three academic databases. The metadata analysis was proposed to reduce\ntime in analysis, and allow for testing of a much larger sample of articles.\nFindings indicated that the IoT research field was immature, with experimental\nmethods dominating research outputs. However, difficulties with keyword\nmetadata included synonyms, abbreviations, lack of accuracy, and method and\ntheory not being included in metadata. A keyword schema is suggested in order\nto relieve these problems in future articles, and to assist researchers in\nlocating relevant literature.\n