Planning and developing a method for collecting ground truth data relating to footwear mark evidence

Selina Reidy; Ryan Harris; Claire Gwinnett; Sarah Reel

doi:10.1016/j.scijus.2022.09.006

Planning and developing a method for collecting ground truth data relating to footwear mark evidence

Selina Reidy, Ryan Harris, Claire Gwinnett, Sarah Reel

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

Ground Truth Data is data that comes from a known source, where the truth about the data is known and not inferred (FSR, 2021). The Forensic Science Regulator requires forensic units (that carry out certain forensic processes) to undertake tests against ground truth data for the purposes of quality assurance/quality control processes such as accreditation. However, the data collected must form a meaningful dataset that will enable relevant tests to be performed that inform the end-user. This technical note discusses how a forensic unit in the UK planned and developed a method for collecting ground truth data for footwear mark evidence. It discusses the materials and variables that were considered when developing the method and the evidence-based, decision-making processes that enabled its creation. Recommendations and considerations are provided to assist other forensic units collect data relevant to their jurisdiction. Whilst the method is not prescriptive, if it is used as a guide, it may facilitate the development of a large and relevant national dataset.

Original language	English
Pages (from-to)	632-643
Number of pages	12
Journal	Science and Justice
Volume	62
Issue number	5
DOIs	https://doi.org/10.1016/j.scijus.2022.09.006
Publication status	Published - 13 Oct 2022

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abstract = "Ground Truth Data is data that comes from a known source, where the truth about the data is known and not inferred (FSR, 2021). The Forensic Science Regulator requires forensic units (that carry out certain forensic processes) to undertake tests against ground truth data for the purposes of quality assurance/quality control processes such as accreditation. However, the data collected must form a meaningful dataset that will enable relevant tests to be performed that inform the end-user. This technical note discusses how a forensic unit in the UK planned and developed a method for collecting ground truth data for footwear mark evidence. It discusses the materials and variables that were considered when developing the method and the evidence-based, decision-making processes that enabled its creation. Recommendations and considerations are provided to assist other forensic units collect data relevant to their jurisdiction. Whilst the method is not prescriptive, if it is used as a guide, it may facilitate the development of a large and relevant national dataset.",

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N1 - Funding Information: The work set out in this technical note would have not been possible without the work of the participants who created samples for the GTD. The authors would also like to thank Dr Will Bailey for providing advice on structure of the article. This technical note did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors. Publisher Copyright: © 2022 The Chartered Society of Forensic Sciences

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N2 - Ground Truth Data is data that comes from a known source, where the truth about the data is known and not inferred (FSR, 2021). The Forensic Science Regulator requires forensic units (that carry out certain forensic processes) to undertake tests against ground truth data for the purposes of quality assurance/quality control processes such as accreditation. However, the data collected must form a meaningful dataset that will enable relevant tests to be performed that inform the end-user. This technical note discusses how a forensic unit in the UK planned and developed a method for collecting ground truth data for footwear mark evidence. It discusses the materials and variables that were considered when developing the method and the evidence-based, decision-making processes that enabled its creation. Recommendations and considerations are provided to assist other forensic units collect data relevant to their jurisdiction. Whilst the method is not prescriptive, if it is used as a guide, it may facilitate the development of a large and relevant national dataset.

AB - Ground Truth Data is data that comes from a known source, where the truth about the data is known and not inferred (FSR, 2021). The Forensic Science Regulator requires forensic units (that carry out certain forensic processes) to undertake tests against ground truth data for the purposes of quality assurance/quality control processes such as accreditation. However, the data collected must form a meaningful dataset that will enable relevant tests to be performed that inform the end-user. This technical note discusses how a forensic unit in the UK planned and developed a method for collecting ground truth data for footwear mark evidence. It discusses the materials and variables that were considered when developing the method and the evidence-based, decision-making processes that enabled its creation. Recommendations and considerations are provided to assist other forensic units collect data relevant to their jurisdiction. Whilst the method is not prescriptive, if it is used as a guide, it may facilitate the development of a large and relevant national dataset.

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Planning and developing a method for collecting ground truth data relating to footwear mark evidence

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