Digital paths to medieval Naantali – from mobile information technology to mobile archaeological information

Publication Type:

Conference Paper

Source:

Beyond the Artifact. Digital Interpretation of the Past. Proceedings of CAA2004, Prato 13–17 April 2004, Archaeolingua, Budapest, p.495–500 (2010)

Keywords:

archaeological record, information management, information process, mobile computing, popular information

Abstract:

While a considerable number of mobile computing applications for cultural and archaeological heritage presentation have been developed, the characteristics of archaeological information and processes of transferring it to the mobile context have received considerably little attention. The question of how the archaeological data makes information suitable for the general public is discussed in the context of an on-going R&D project in Naantali, Finland. The process of examined by discussing some fundamental characteristics of archaeological data, and the information aimed for the general public. On the basis of these characteristics and suggested functions of the information, a framework for a flexible data model is introduced to increase the efficiency of the information process. The data model addresses especially the problems of parallel information, management of changing interpretations and flexible updates.

Body: 

Archaeology and Archaeological Information in the Digital Society shows how the digitization of archaeological information, tools and workflows, and their interplay with both old and new non-digital practices throughout the archaeological information process, affect the outcomes of archaeological work, and in the end, our general understanding of the human past.

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Taking Health Information Behaviour into Account: implications of a neglected element for success- ful implementation of consumer health technologies on older adults (HIBA) is an Academy of Finland funded research project at Åbo Akademi University.

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CApturing Paradata for documenTing data creation and Use for the REsearch of the future (CAPTURE) investigates what information about the creation and use of research data that is paradata) is needed and how to capture enough of that information to make the data reusable in the future. 

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