archaeology

Alternatives to Being Information Literate

Huvila, I. (2018). Alternatives to Being Information Literate. In K. S., J., B., S., Š., E., G., D., M., & L., R. (Eds.), Information Literacy in the Workplace. Cham: Springer. doi:10.1007/978-3-319-74334-9_82

CfP: Special issue: “Archaeology and information research” to appear in Information Research

Archaeology is a domain that has intersections with information research both as an empirical domain of investigation and as a perspective to inquire into how people interact with information. The relevance of discussing the links between the disciplines of information and archaeology relates to the increasing societal significance of cultural heritage around the globe.

Training opportunities with COST-ARKWORK

COST Action on Archaeological practices and knowledge work in the digital environment (ARKWORK) is organising a Training school in Studying Archaeological fieldwork, knowledge production, and the digital environment in Athens, Nov 6-10, 2017.

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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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