A Model of Databases Missing Persons and Unidentified Bodies in Thailand

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Rachadaporn Mornmoung
Sarit Suebpongsiri

Abstract

The purposes of this study were 1) to study the problems and obstacles the database storage of missing persons and unidentified bodies in Thailand; and 2) To present a database pattern of missing persons and unidentified bodies. The methodology of Mixed Methods such as the quantitative research and qualitative research were used. The sample involved 340 officials from four government agencies and the method of quantitative research was purposive sampling. The qualitative research selected of 17 peoples from panel experts with experience in the practice of missing persons, unidentified Persons and unidentified bodies. The technically using the Delphi technique and use the verification by the triangulation method, collect information from the questionnaire and analyzed by descriptive statistic.


The results indicated that problems and obstacles were divided into 4 section Including 1) The Insufficient personnel and knowledge 2) Not enough budget to investigation 3) The management system is unclear 4) there are no suitable tools and location for operation. The model of databases missing persons and unidentified bodies in Thailand is divided into 3 levels as follows:
Level 1: The developed infrastructure through integration of cooperation and system development
Level 2: The importing information system
Level 3: The development of technologies to support identification process such as the developed innovation and using the Artificial Intelligence (AI) application, etc.

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How to Cite
Mornmoung, R., & Suebpongsiri, S. (2021). A Model of Databases Missing Persons and Unidentified Bodies in Thailand. Journal of Criminology and Forensic Science, 7(1), 55-70. Retrieved from https://so02.tci-thaijo.org/index.php/forensic/article/view/245045
Section
Research Articles

References

Ali, H., Brown, N., Chiro, L., Dillinger, E., Droder, E., Hanby, J., and Yosafat, J. (2011). Recovery and identification of the missing after disaster: Case studies, ethical guidelines and policy recommendations. N.P. Retrieved November 6, 2016, from http://www.cmu.edu/hss/ehpp/documents/2011-Recovery-andIdentification-of-the-Missing-after-Disaster.pdf

Chantavanich, S. (2009). Data Analysis in Qualitative Research. (9th ed.). Bangkok : Chulalongkorn University Printery. (In Thai).

Grant, S. (2015). Migrant deaths at sea: Addressing the information deficit. Migration Policy Practice, 1, 9-16. Retrieved October 20, 2016, from http://publications.iom. int/system

ICRC. (2014). The ante-mortem / post-mortem database: An Information management application for forensic data. Ref. 4155. Switzerland: Author.

IOM Global Migration data analysis center. (2020). Missing Migrants Project. Retrieved August 1, 2020, From https://missingmigrants.iom.int/about.

Maurer. C. (2016). Missing persons and unidentified remains: Opportunities may exist to share information more efficiently. In Report to congressional committees (GAO-16-515). Washington,DC: U.S. Government Accountability Office.

Somjai. S. (2015). The study of recording system and retrieval system of missing person. Bangkok : Suansunadha University. (In Thai).