Analysis of the human skull data using information object analysis concept

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Satapon Yosakonkun
Kulthida Tuamsuk
Panya Tuamsuk


The skull is an integral part of the human forensic analysis to identify characteristics of a person and to lead to the diagnosis of individual. Management of human skull and cranial data systematically in accordance with clinical uses, especially in forensic anthropology, is crucial. The objective of this research was to analyze human skull data based on Gilliland's Principles of Information Object Analysis (2016). The research was conducted using a qualitative method consisting of content analysis based on the data of Thai skulls from Tuamsuk, Nonsrichan, & Sirisilp (2013)’s research, and interviews with four doctors specializing in anatomy and forensic medicine by using a snowball sampling technique and interview record form. The results of the study concluded that the human skull, which in this research considered to be an Information Object, has three aspects of data elements: 1. content data consisting of bone data and landmark data 2. context data consisting of skull owner data such as gender, age, race, weight, height, and skull image, and 3. structure data containing length of the skull and cranial index data. The results of this research have yielded a data set and detailed data that can be used to develop metadata and data warehouses for the benefit of medical studies and cranial index analysis to identify individuals in forensic anthropology.


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