FAIRness in digital forensics datasets' metadata – and how to improve it
- The availability of research data (datasets) and compliance with FAIR principles—Findability, Accessibility, Interoperability, and Reusability—is critical to progressing digital forensics. This study evaluates metadata completeness and assesses the alignment with the FAIR principles using all 212 datasets from NIST's Computer Forensic Reference DataSet Portal (CFReDS). The findings underscore deficiencies in metadata quality and FAIR compliance, emphasizing the need for improved data management standards. Based on our critical review, we then propose and discuss various approaches to improve the status quo.
Author: | Samuele Mombelli, James R. Lyle, Frank BreitingerORCiDGND |
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URN: | urn:nbn:de:bvb:384-opus4-1175475 |
Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/117547 |
ISSN: | 2666-2817OPAC |
Parent Title (English): | Forensic Science International: Digital Investigation |
Publisher: | Elsevier BV |
Type: | Article |
Language: | English |
Year of first Publication: | 2024 |
Publishing Institution: | Universität Augsburg |
Release Date: | 2024/12/16 |
Volume: | 48 |
Issue: | Supplement |
First Page: | 301681 |
DOI: | https://doi.org/10.1016/j.fsidi.2023.301681 |
Institutes: | Fakultät für Angewandte Informatik |
Fakultät für Angewandte Informatik / Institut für Informatik | |
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Cybersicherheit | |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Licence (German): | ![]() |