The Use of Databases in the Analysis of the Scene of Crime

Keywords: Criminal proceedings, crime scene, investigation, databases, effectiveness of evidence

Abstract

The problems of using databases in the crime scene analysis are due to changes in the structure of crime, adaptation of innovative technologies to the needs of law enforcement, and protection of human rights. The complex of these aspects determines the relevance of the topic. The aim of the study is identifying the peculiarities of using databases in the crime scene analysis and the prospects for improving law enforcement activities with a view to crime trends. The research employed logical, comparative methods, forecasting. It was revealed that the mechanism of database creation and use is aimed at the fulfilment of the tasks of working with traces at the crime scene. Correspondence of databases to the needs of law enforcement activities is assessed through criteria grouped into resource, organizational and regulatory clusters. Prospective databases should take crime trends into account. The latest methods of working with traces are the final stage of the adaptation of research in the field of criminal justice. The academic novelty of the study consists in a critical examination of the use of databases in the crime scene analysis as a complex of the issues of communications and innovations in law enforcement activities. The study opens up prospects for the development of unified algorithms for information exchange for counteraction to transnational crime.

Downloads

Download data is not yet available.

Author Biographies

Nataliia Akhtyrska, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Candidate of Legal Sciences, Associate Professor, Department of Criminal Process and Criminalistics, Educational and Scientific Institute of Law, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Olena Kostiuchenko, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Candidate of Legal Sciences, Associate Professor, Head of the Department of Criminal Process and Criminalistics, Educational and Scientific Institute of Law, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Yurii Sereda, Kyiv National Economic University named after Vadym Hetman”, Kyiv, Ukraine.

Candidate of Legal Sciences, Associate Professor, Department of Public and International Law, Educational and Scientific Institute “Law Institute of the Kyiv National Economic University named after Vadym Hetman”, Kyiv, Ukraine.

Anna Vynohradova, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Candidate of Legal Sciences, Associate Professor, Department of Criminal Process and Criminalistics, Educational and Scientific Institute of Law, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Ivan Miroshnykov, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

Candidate of Legal Sciences, Associate Professor, Department of Criminal Procedure and Criminalistics, Educational and Scientific Institute of Law, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine.

References

Al-dhaqm, A., Razak, S., Othman, S. H., Ngadi, A., Ahmed, M. N., Mohammed, A. A. (2017) Development and validation of a Database Forensic Metamodel (DBFM). PLoS ONE, 12(2), e0170793. https://doi.org/10.1371/journal.pone.0170793

Almazrouei, M. A., Dror, I. E., Morgan, R. M. (2020). Organizational and Human Factors Affecting Forensic Decision-Making: Workplace Stress and Feedback. Journal of Forensic Sciences, 65(6), 1968-1977. https://doi.org/10.1111/1556-4029.14542

Amankwaa, A. O. (2020). Trends in forensic DNA data base: Transnational exchange of DNA data Forensic Sciences Research, 5(1), 8–14. https://doi.org/10.1080/20961790.2019.1565651

Amankwaa, А. О., McCartney, С. (2019). The effectiveness of the UK national DNA database. Forensic Science International: Synergy, 1, 45-55. https://doi.org/10.1016/j.fsisyn.2019.03.004

Amankwaa, A. O., McCartney, C. (2021). The effectiveness of the current use of forensic DNA in criminal investigations in England and Wales. WIREs Forensic Science, 3, e1414. https://doi.org/10.1002/wfs2.1414

Blahuta, R. I., Movchan, A. V. (2020). The latest technologies in the investigation of crimes: the current state and problems of use. Lviv: LDUVS.

Carrera, S., Mitsilegas, V., Stefan, M. (2021). Criminal Justice, Fundamental Rights and the Rule of law in the Digital Age: Report of CEPS and QMUL Task Force. Brussels: Centre for European Policy Studies (CEPS).

Cunha, R. R., Arrabal,C. T., Dantas, M. M., Bassanelli, H. R. (2022). Laser scanner and drone photogrammetry: A statistical comparison between 3-dimensional models and its impacts on outdoor crime scene registration. Forensic Science International, 330, 111100. https://doi.org/10.1016/j.forsciint.2021.111100

De Gruijter, M., Nee, C., de Poot, C. J. (2017). Identification at the crime scene: The sooner, the better? The interpretation of rapid identification information by CSIs at the crime scene. Science & Justice, 57(4), 296-306. https://doi.org/10.1016/j.scijus.2017.03.006

De Moor, S. (2018). Forensic DNA databases as data sources for criminological research. Doctoral thesis submitted to obtain the title Doctor in Criminology. Ghent University

De Roo, R. H. D., de Gruijter, M., de Poot, C. J., Limborgh, J. C. M., van den Hoven, P. (2022). The added value of behavioural information in crime scene investigations. Forensic Science International: Synergy, 5, 100290. https://doi.org/10.1016/j.fsisyn.2022.100290

Dela Rama, J. I. J. R. (2022). Problem Areas in Positive Identification, Alibi and Emerging Role of Forensic Science in the Appreciation of Evidence. UST Law Review, 66(1), 93-131. https://lawreview.ust.edu.ph/problem-areas-in-positive-identification-alibi-and-emerging- role-of-forensic-science-in-the-appreciation-of-evidence/

Fedchak, I. A. (2021). Fundamentals of criminal analysis. Lviv: LDUVS.

Gryshchenko, I., Kruhlov, V., Lypchuk, O., Lomaka, I., Kobets, Yu. (2022). Infrastructural development of smart cities as the background of digital transformation of territorial units. Cuestiones Políticas, 40(73), 233-250. https://doi.org/10.46398/cuestpol.4073.11

Interpol. (2022). Our 19 databases. https://www.interpol.int/How-we-work/Databases

Jakovski, Z., Ajanovska, R. J., Stankov, A., Poposka, V., Bitoljanu, N., Belakaposka, V. (2017). The power of forensic DNA data bases in solving crime cases. Forensic Science International: Genetics Supplement Series, 6, e275-e276. https://doi.org/10.1016/j.fsigss.2017.09.085

Jha, P., Jha, R., Sharma, A. (2019). Behavior Analysis and Crime Prediction using Big Data and Machine Learning. International Journal of Recent Technology and Engineering, 8(1), 461-468. https://www.ijrte.org/wp-content/uploads/papers/v8i1/A3493058119.pdf

Kelty, S. F., Ribaux, O., Robertson, J. (2023). Identifying the critical skillset of top crime scene examiners: Why this matters and why agencies should develop top performers. WIREs Forensic Science, 5(5), e1494. https://doi.org/10.1002/wfs2.1494

Khairul, O., Gina, F. G., Noor, H. H. (2021). Crime Scene Investigation Issues: Present Issues and Future Recommendations. Jurnal Undang-Undang dan Masyarakat, 28, 3-10. https://doi.org./10.17576/juum-2021-28-01

Korzh, V. P. (2018). Inspection of the scene: procedural features, forensic recommendations. Kharkiv: KhNUVS.

Lid´en, M., Almazrouei, M. A. (2023). “Blood, Bucks and Bias”: Reliability and biasability of crime scene investigators’ selection and prioritization of blood traces. Science & Justice, 63, 276–293. https://doi.org/10.1016/j.scijus.2023.01.005

Lisohor, V. H. (2020). The use of innovations during the crime scene investigation. Economics. Finanсes. Law, 5, 30-32. https://doi.org/10.37634/efp.2020.5.5

Oatley, G. O., Chapman, B., Speers, J. (2020). Forensic intelligence and the analytical process. WIREs. Data Mining and Knowledge Discovery, 10(3), e1354. https://doi.org/10.1002/widm.1354

Office UK Government. (2023). Forensic Information Databases annual report 2021 to 2022 (accessible version). Corporate report. Presented to Parliament pursuant to Section 63AB(8) of the Police and Criminal Evidence Act 1984. https://www.gov.uk/government/publications/forensic-information-databases-annual- report-2021-to-2022/forensic-information-databases-annual-report-2021-to-2022-accessible-version

Ospina-Bohorquez´, A., Del Pozo, S., Courtenay, L. A., González-Aguilera, D. (2023). Handheld stereo photogrammetry applied to crime scene analysis. Measurement, 216, 112861. https://doi.org/10.1016/j.measurement.2023.112861

Priakhin, Ye. V. (2022). Forensic means and methods of investigating criminal offenses. Lviv: LDUVS.

Pugh, G. (2008). Doing justice to forensic databases. Medicine, Science and the Law, 48(2), 93- 95. https://doi.org/10.1258/rsmmsl.48.2.93.

Rossy, Q., Ioset, S., Dessimoz, D., Ribaux, O. (2013). Integrating forensic information in a crime intelligence database. Forensic Science International, 230(1-3), 137-46. https://doi.org/10.1016/j.forsciint.2012.10.010

Sahay, K. Вh., Balachander, B., Jagadeesh, B., Kumar, G. A., Kumar, R., Parvathy, L. R. (2022). A real time crime scene intelligent video surveillance systems in violence detection framework using deep learning techniques. Computers and Electrical Engineering, 103, 108319. https://doi.org/10.1016/j.compeleceng.2022.108319

Santos, F., Machado, H. (2017) Patterns of exchange of forensic DNA data in the European Union through the Prum system. Science & Justice, 57(4), 307–313. https://doi.org/10.1016/j.scijus.2017.04.001

Senthil, P., Selvakumar, S. (2022). A hybrid deep learning technique based integrated multi-model data fusion for forensic investigation. Journal of Intelligent & Fuzzy Systems, 43(5), 6849-6862. https://doi.org/10.3233/JIFS-221307

Singh, H. N. (2020). Crime Scene Investigation. International Journal of Science and Research, 10(11), 642-648. https://doi.org./10.21275/SR211112005543

Srivastava, A., Harshey, A., Das, T., Kumar, A., Yadav, M. M., Shrivastava, P. (2022). Impact of DNA evidence in criminal justice system: Indian legislative perspectives. Egyptian Journal of Forensic Sciences, 12, 51. https://doi.org/10.1186/s41935-022-00309-y

Tehrani, N. (2023). The role of psychological surveillance in reducing harm and building resilience in police forensic investigators. The Police Journal. https://doi.org/10.1177/0032258X231151996

Turvey, B. E., Freeman, J. (2022). Crime Scene Analysis. In: Turvey, B. E. (Ed.), Criminal Profiling: An Introduction to Behavioral Evidence Analysis (pp. 415-456). Fifth Edition. Elsevier Science.

U.S. Department of Justice. (2023). National Crime Information Systems. https://www.justice.gov/tribal/national-crime-information-systems

Wang, J., Li, Z., Hu, W., Shao, Y., Wang, L., Wu, R., Ma, K., Zou, D., Chen, Y. (2019). Virtual reality and integrated crime scene scanning for immersive and heterogeneous crime scene reconstruction. Forensic Science International, 303, 109943. https://doi.org/10.1016/j.forsciint.2019.109943

Wen, Z., Curran, J. M., Wevers, G. (2023). Shoeprint image retrieval and crime scene shoeprint image linking by using convolutional neural network and normalized cross correlation. Science & Justice, 63(4), 439-450. https://doi.org/10.1016/j.scijus.2023.04.014

Wickenheise, R. A. (2023). Proactive crime scene response optimizes crime investigation. Forensic Science International: Synergy, 6, 100325. https://doi.org/10.1016/j.fsisyn.2023.100325

Yu, S.-H., Thomson, G., Rinaldi, V., Rowland, C., Daeid, N. N. (2023). Development of a Dundee Ground Truth imaging protocol for recording indoor crime scenes to facilitate virtual reality reconstruction. Science & Justice, (63), 238–250. https://doi.org/10.1016/j.scijus.2023.01.001

Zarmsky, S. (2021). Why Seeing Should Not Always Be Believing: Considerations Regarding the Use of Digital Reconstruction Technology in International Law. Journal of International Criminal Justice, 19(1), 213–225. https://doi.org/10.1093/jicj/mqab048
Published
2023-12-16
How to Cite
Akhtyrska, N., Kostiuchenko, O., Sereda, Y., Vynohradova, A., & Miroshnykov, I. (2023). The Use of Databases in the Analysis of the Scene of Crime. Journal of the University of Zulia , 15(42), 193-209. https://doi.org/10.46925//rdluz.42.11

Most read articles by the same author(s)