Forensic DNA elimination databases in Europe: A comparative analysis of data from seven countries

Nogel, Mónika ✉ [Nogel, Mónika (Bűnügyi Tudományo...), author] Department of Criminology and Forensic Sciences; Pádár, Zsolt [Pádár, Zsolt (Igazságügyi genetika), author]; Kovács, Gábor [Kovács, Gábor (Kriminalisztika, ...), author] Institute of Information Society (UPS / EJRC)

English Article (Journal Article) Scientific
Published: FORENSIC SCIENCE INTERNATIONAL: SYNERGY 2589-871X 11 Paper: 100617 , 6 p. 2025
  • Állam- és Jogtudományi Bizottság: A nemzetközi
  • SJR Scopus - Law: D1
Identifiers
Subjects:
  • Internet and semantic web, database systems and libraries
  • Law, criminology, penology
  • Forensic technologies, others
  • Web and information systems, database systems, information retrieval and digital libraries, data fusion
Forensic DNA elimination databases are valuable tools for identifying potential contamination risks during forensic investigations. This study provides a comparative analysis of the design, implementation, and effectiveness of forensic DNA elimination databases across seven European countries: Sweden, Germany, Czechia, Poland, the Netherlands, the UK, and Finland. Data were collected through structured inquiries sent to ENFSI member states’ forensic DNA laboratories, focusing on key aspects such as legal frameworks, database sizes, and contamination cases identified through the elimination database. The results reveal significant differences in the establishment and management of these databases, reflecting diverse legal and operational contexts. The findings underscore the need to ensure that all European countries implement their elimination databases to standardize forensic procedures and improve the reliability of DNA evidence. Furthermore, the study highlights the importance of introducing harmonized frameworks for forensic DNA elimination databases to enhance transparency, accessibility, and efficiency in forensic DNA practices across Europe.
Citation styles: IEEEACMAPAChicagoHarvardCSLCopyPrint
2026-10-15 04:26