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Decoding Digital Curation for Cultural Heritage: A Survey and Extended Proposal

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Design tools and Technologies For CH

Data Acquisition and Selection: Wireless Sensor Networks (WSNs), Electrical

Resistivity Tomography (ERT), 3D laser scanning, Spectral Imaging, Digital Photogrammetry etc...

Data Curation and Preservation: Vocabularies, Thesauruses, ontologies,

EDM(Europeana Data Model Documentation etc...

Maintenance and collection: The Digital Archaeological Record (tDAR),

ARIADNEplus, ICOM-CIDOC, PREFORMA, EffeHDDT... ● Archiving: Cloud networks, Artificial Intelligence...

User Experience: Wearable technologies and platforms, Augmented Reality (AR),

Virtual Reality, Mixed Reality (XR), Internet of Things, Teleimmersion...

Decoding Digital Curation for Cultural Heritage:

A Survey and Extended Proposal

Abstract:

Digital curation in cultural heritage (CH) organizations is becoming more and more established as a practice as empirical research into tools, techniques, skills, standards and best practices in particular contexts emerge. This research is twofold:

● formulates a definition of digital curation and the involved activities wıth the roles and responsibilities of the digital curators ● unpacks the notions of semantic encoding and argues for the importance of data lifecycle and metadata for digital curation.

What is Digital Curation

(Shi et al., 2016)

It is the process of overcoming the challenges raised by the ● selection

● preservation, ● maintenance, ● collection, ● archiving

of digital assets of cultural heritage for present and future use.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 754511

Methodology

:

CH DOMAIN

Processed data

Archive

What are the criteria for designing and curating

digital tools

that helps to realize an effective

communication?

Is it possible to create a

unified framework

of digital curation for cultural heritage?

Metadata

Architecture of Digital Curation for Cultural Heritage

Data Acquisition

Data Processing and Modelling

Data Interpretation

Data Curation and Preservation

Data Documentation and Archiving

Data Publication and Dissemination

Department of Computer Science, Università degli Studi di Torino tugce.karatas@unito.it, vincenzo.lombardo@unito.it

Tugce Karatas, Vincenzo Lombardo

Review tasks through existing models and frameworks Compare frameworks and test effectiveness in CH tasks Test validation of the framework on real project Development of an unified digital curation framework Interaction Raw data CH DATA CH INFORMATION User Experience CH KNOWLEDGE Immersivity Information Transfer CH USER Ontologies

Ex: UAV mesh of site: A topographic image

Image Source:ÇatalhöyükResearch Project Archive, 2017

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