ICPUTRD: Image Cloud Platform for use in tagging and research on decomposition.
big data systems
cloud platform
forensic anthropology
forensic science
human decomposition
image curation
software systems
Journal
Journal of forensic sciences
ISSN: 1556-4029
Titre abrégé: J Forensic Sci
Pays: United States
ID NLM: 0375370
Informations de publication
Date de publication:
18 Dec 2023
18 Dec 2023
Historique:
revised:
21
10
2023
received:
14
08
2023
accepted:
27
11
2023
medline:
18
12
2023
pubmed:
18
12
2023
entrez:
18
12
2023
Statut:
aheadofprint
Résumé
Human decomposition studies aim to understand the various factors influencing human decay to assess the deceased and develop postmortem interval (PMI) estimation methods. These types of studies are typically conducted through physical experiments examining the deceased; however, big data systems have the potential to transform how large-scale forensic anthropology research questions can be addressed with curated images of donors with known demographic, climatic, and postmortem historical data. This study introduces ICPUTRD (Image Cloud Platform for Use in Tagging and Research on Decomposition), a web-based software system, which enables forensic scientists to easily access, enhance (or curate), and analyze very large photographic collections documenting the longitudinal process of human decomposition. ICPUTRD, a JavaScript-based application, was designed and built through a combination of the Waterfall and Agile software development life-cycle methods and provides an image search and tagging features with a predefined nomenclature of forensic-related keywords. To evaluate the system, a user study was conducted, involving 27 participants who completed pre- and post-study surveys and three research tasks. Analysis of the study results confirmed the feasibility and practicality of ICPUTRD to facilitate aspects of forensic research and casework involving large collections of digital photographs of human decomposition. It was observed that the nomenclature lacked certain law enforcement keywords, so future work will focus on expanding it to ensure ICPUTRD is suited for all its intended users.
Identifiants
pubmed: 38108505
doi: 10.1111/1556-4029.15448
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Institute of Justice
ID : 2016-DN-BX-0179
Organisme : National Institute of Justice
ID : 2018-DU-BX-0181
Informations de copyright
© 2023 American Academy of Forensic Sciences.
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