Perspectives to Archaeological Information in the Digital Society

Publication Type:



Huvila, Isto


Department of ALM, Uppsala University, Uppsala (2014)


ISBN 978-91-506-2414-4



Rather than a conclusion, the texts in the volume are a new start in working towards understanding the complexities of working with archaeological documentation and information. The intricacies of managing archaeological information and documentation have been acknowledged for a long time, but the rapid changes in premises, tools and the idea of how archaeology should be conducted in the digital age have shifted many of the parameters of the process.

The aim of this small book is to briefly discuss some of the premises for studying the implications and opportunities of the digitalisation of information and information work in the domain of archaeology and material cultural heritage. This book has been written under the auspices of the research project Archaeological Information in the Digital Society (ARKDIS) funded by the Swedish Research Council as a part of the work of the project to set the stage for researching the production and use of archaeological knowledge.

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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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COST-ARKWORK is a network funded by the COST scheme that brings together the multidisciplinary work of researchers of archaeological practices in the field of archaeological knowledge production and use. The aim of the network is to make a major push forward in the current state-of-the-art in knowing how archaeological knowledge is produced, how it is used and how to maximise its positive impact in the society.

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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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