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Standards in wildlife forensic science, with a focus on non‐human DNA analysis

Authors: Greta J. Frankham; Rob Ogden; Barry W. Baker; Kyle M. Ewart; Rebecca N. Johnson; Irene Kuiper; Christina D. Lindquist; +3 Authors

Standards in wildlife forensic science, with a focus on non‐human DNA analysis

Abstract

AbstractFor genetic data to be used in forensic casework, it has to be produced within a controlled environment that follows strict quality standards. However, recent reviews have suggested that wildlife forensic laboratories are behind in the development and adherence to appropriate standards for casework. This paper will address these concerns by documenting the standards that have been produced, highlighting the systems of assessment and competency testing available, and reviewing the status of validated reference genetic databases. Networks of dedicated wildlife forensic scientists across the globe, represented in part by the author list for this paper, illustrate the strides taken to build capacity in this field, and an ongoing commitment to present quality wildlife forensic evidence in court.

Country
United Kingdom
Keywords

Forensic Genetics, Conservation of Natural Resources, Forensic Sciences/standards, Databases, Genetic, Forensic Sciences, Animals, Animals, Wild, DNA/analysis, Review, DNA, Forensic Genetics/methods

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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
Green
hybrid
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