ARIADNE: a research infrastructure for archaeology

Meghini C., Scopigno R., Richards J., Wright H., Geser G., Cuy S., Fihn J., Fanini B., Hollander H., Niccolucci F., Felicetti A., Ronzino P., Nurra F., Papatheodorou C., Gavrilis D., Theodoridou M., Doerr M., Tudhope D., Binding C., Vlachidis A.

data management systems  Conservation  Cultural heritage  Data standards  Computer Graphics and Computer-Aided Design  [SHS.ARCHEO]Humanities and Social Sciences/Archaeology and Prehistory  Archaeology  Computer Science Applications  information integration  Computer graphics  e-infrastructure  CIDOC-CRM  SKOS  information systems 

Research e-infrastructures, digital archives, and data services have become important pillars of scientific enterprise that in recent decades have become ever more collaborative, distributed, and data intensive. The archaeological research community has been an early adopter of digital tools for data acquisition, organization, analysis, and presentation of research results of individual projects. However, the provision of e-infrastructure and services for data sharing, discovery, access, and (re) use have lagged behind. This situation is being addressed by ARIADNE, the Advanced Research Infrastructure for Archaeological Dataset Networking in Europe. This EU-funded network has developed an e-infrastructure that enables data providers to register and provide access to their resources (datasets, collections) through the ARIADNE data portal, facilitating discovery, access, and other services across the integrated resources. This article describes the current landscape of data repositories and services for archaeologists in Europe, and the issues that make interoperability between them difficult to realize. The results of the ARIADNE surveys on users' expectations and requirements are also presented. The main section of the article describes the architecture of the e-infrastructure, core services (data registration, discovery, and access), and various other extant or experimental services. The ongoing evaluation of the data integration and services is also discussed. Finally, the article summarizes lessons learned and outlines the prospects for the wider engagement of the archaeological research community in the sharing of data through ARIADNE.

Source: ACM journal on computing and cultural heritage (Print) 10 (2017). doi:10.1145/3064527

Publisher: Association for Computing Machinery, New York, NY , Stati Uniti d'America

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