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DataBases about Aegean Subjects

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 [First posted in AWOL 16 February 2011. Updated 14 May 2016]

DataBases about Aegean Subjects (DBAS)
Structure and Aims 

DBAS project, the acronym of "Data Bases about Aegean Subjects", starts in 2005 as a complex research tool for the study of specific themes, regarding the Aegean and the East Mediterranean areas in the pre-classical period.

DBAS aims at a complete statistical cross-analysis of significant  bodies of evidences, which could be highly beneficial for the development of single research projects. The project is promoted by the University of Florence, involving a team of historians, philologists, archaeologists and computer scientists, both from the University of Florence and other Institutions.

DBAS is a web-based consultation resource, i.e. a scientific portal sorting out different research tools: Data bases for advanced research on specific topics, Bibliographic data bases, Implements for general research and for educational purposes.

The overall architecture of the web site where the project is hosted shows the merging in a joint system of a number of general features including:
  • Linking of different data/sets:archaeological, iconographical, philological data and other records on selected topics will come together in dedicated data bases.
  • Linking of different data bases:data bases on close or related matters will be combined to allow for search of chronological, geographical or thematic correlations. To further enlarge the perspective, the data bases will be connected to additional resources available at the site, like downloadable fonts, selected thematic bibliographies, photo galleries, etc...
  • Linking to different web-sites:the DBAS structure will ensure, with appropriate tools, the connection to other web-sites offering different materials related to the main research themes developed in this project. This is a particularly relevant feature making DBAS an open structure not only to enlarge its records but mainly to involve other scholars and to improve the scientific quality of the available data.

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