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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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Related Experiment Video

Updated: Mar 8, 2026

Scanning Skeletal Remains for Bone Mineral Density in Forensic Contexts
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Development and validation of a Database Forensic Metamodel (DBFM).

Arafat Al-Dhaqm1,2, Shukor Razak1, Siti Hajar Othman1

  • 1Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.

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Summary

This study unifies Database Forensics (DBF) activities by analyzing 60 models to create a comprehensive metamodel. It reveals commonalities in DBF practices across various incident types for better knowledge sharing.

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Area of Science:

  • Computer Science
  • Digital Forensics
  • Information Security

Background:

  • Database Forensics (DBF) is a critical field for investigators.
  • Existing DBF models are often specialized for specific incident types.
  • There's a need for a unified understanding of DBF activities.

Purpose of the Study:

  • To analyze existing DBF models and identify common activities.
  • To develop a unified abstract view of DBF through a metamodel.
  • To ensure the metamodel is comprehensive and consistent.

Main Methods:

  • Analysis of 60 existing Database Forensics models.
  • Identification and extraction of common DBF concepts.
  • Reconciliation of concept definitions.
  • Application of a metamodelling process.

Main Results:

  • Identified numerous commonalities in DBF activities despite varying incident types.
  • Developed a unified metamodel representing abstract DBF concepts.
  • Proposed reconciled definitions for common DBF concepts.

Conclusions:

  • A unified metamodel provides a comprehensive and consistent view of DBF.
  • This metamodel can enhance knowledge-sharing and standardize DBF practices.
  • The findings support a generalized approach to Database Forensics.