The development of identification standards in forensic anthropology requires large and appropriate reference samples comprising individuals with modern birth years. Recent advances in macromorphoscopic trait data collection and analysis have created a need for reference data for classification models and biological distance analyses. The Macromorphoscopic Databank (N ∼ 7,397) serves that function, making publicly available trait scores for a large sample (n = 2,363) of modern American populations and world-wide groups of various geographic origins (n = 1,790). In addition, the MaMD stores reference data for a large sample (n = 3,244) of pre-, proto- and historic Amerindian data, useful for biodistance studies and finer-levels of analysis during NAGPRA-related investigations and repatriations. In developing this database, particular attention was given to the level of classification needed during the estimation of ancestry in a forensic context. To fill the knowledge gap that currently exists in the analysis of these data, the following overview outlines many of the issues and their potential solutions. Developing valuable tools that are useful to other practitioners is the purpose of growing a databank. As the Macromorphoscopic Databank develops through data collection efforts and contributions from the field, its utility as a research and teaching tool will also mature, in turn creating a vital resource for forensic anthropologists for future generations.
Keywords: ancestry; categorical data analysis; forensic anthropology; forensic science; macromorphoscopic traits.
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