Iberian Zooarchaeology Meeting 2017 (EZI2017) in association with 5th Iberian Peninsula Archaeomalacology Scientific Meeting (5RCAPI) 26-29 April 2017
PRELIMINARY PROGRAM
Universidade do Algarve Campus de Gambelas Faro, Portugal
Archaeozoological studies: new database and method base in alphanumeric codes.
Cristina Real1, Juan Vicente Morales1, Alfred Sanchis2, Leopoldo Pérez3, 4, Manuel Pérez Ripoll1, Valentín Villaverde1 1
Departament de Prehistòria i Arqueologia. Universitat de València. Blasco Ibáñez 28, 46010 Valencia, Spain.
[email protected];
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[email protected] 2 Museu de Prehistòria de València. Servei d’Investigació Prehistòrica. Diputació de València. Corona 36, 46003 Valencia, Spain.
[email protected] 3 IPHES, Institut Català de Paleoecologia Humana i Evolució Social, C/Marcel-lí Domingo s/n. Campus Secelades URV (Edifici W3), 43007 Tarragona, Spain 4 Àrea de Prehistoria, Universitat Rovira i Virgili (URV), Avinguda de Catalunya, 35, 43002 Tarragona, Spain.
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ABSTRACT The database is an important tool to collect all the necessary information by any archaeozoologist. However, the specialists don’t use a recurring methodology to describe the bones remains, and that complicates the possibility to compare the results from different sites. For these reasons, first, it is necessary to provide a complete and versatile database structure and secondly, employ a fast and objective methodology. In this case, we propose simplified method based on alphanumeric codes. We have designed four databases in FileMaker©, all of them interrelated and focused on a part of an archaeozoological study: 1) site data, taxonomy; 2) taphonomy modifications; 3) osteometry; 4) teeth analysis. Besides, for taphonomy modification we have created a compilation of alphanumeric codes that simplified and sum up the description of bone morphology, the origin and morphotypes of fractures and the localization of the taphonomic modifications. This new methodology has been applied to different samples. Some of them have an anthropological origin (Real 2012, 2013; Morales 2015), others are natural accumulations (Sanchis et al. 2014), and even mixed ones (Sanchis et al. 2013). In all cases we have aimed to contrast the results in an objective way, leaving the interpretation to the final step of the analysis. In order to achieve this objective, we should use the same methodology, one that facilitates the way we compile the data and the way we can share the information and compare it within different sites. KEYWORDS: methodology, database, alphanumeric codes