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Sustaining Heritage Access through Multivalent ArchiviNg

Project description

Digital libraries and technology-enhanced learning
This project will develop and test a next generation digital preservation framework including tools for analysing, ingesting, managing, accessing and reusing information objects and data

The SHAMAN Integrated Project aims at developing a new framework for long-term digital preservation (more than one century) by exploring the potential of recent developments in the areas of GRID computing, federated digital library architectures, multivalent emulation and semantic representation and annotation.

The researchers' vision is: "For the longer term, SHAMAN will develop radically new approaches to Digital Preservation, such as those inspired by human capacity to deal with information and knowledge, providing a sound basis and instruments for unleashing the potential of advanced ICT to automatically act on high volumes and dynamic and volatile digital content, guaranteeing its preservation, keeping track of its evolving semantics and usage context and safeguarding its integrity, authenticity and long term accessibility over time." (Project website)

The project plans to deliver a set of integrated tools supporting the various aspects of the preservation process: analysis/characterisation, ingestion, management, access and reuse. Work includes trials and validation of the tools in three application domains dealing with different types of objects: scientific publishing and government archives, industrial design and engineering (e.g. CAD), and e-science resources.

SHAMAN's dissemination and exploitation plans aim at actively fostering outreach and take-up of results and will be tailored according to the specific needs of the scientific / academic world and of industry users. SHAMAN's work will be coordinated with other digital preservation projects and initiatives at national and international level.

The aim of the SHAMAN Integrated Project is to investigate and develop a long-term next generation digital preservation (DP) framework and corresponding application solution environments for analysing, ingesting, managing, accessing and reusing information objects and data across libraries and archives, Three prototypical application solutions will be build on the basis of this framework environment will support the and trialling and validating of the result in scientific publishing, parliamentary archival, industrial design and engineering and finally experimentally also in scientific application domains. To achieve these goals SHAMAN is applying and utilising radically new and promising methods for supporting DP as the core of the approach. Within SHAMAN, the core functions are organized within the SHAMAN reference architecture. Utilizing this architecture the project will create a framework and application development environment supporting the creation of test-beds of Digital Preservation support infrastructures and services. The core services of the SHAMAN framework are constructed by integrating Data Grid (DG), Digital Library (DL), Persistent Archive (PA), Context Representation, Annotation, and Preservation (CRAP) as well as Deep Linguistic Analysis (DLA) and corresponding Semantic Representation and Annotation (SRA) technologies for simple and connected data types establishing, document, media, CAD, and scientific data, knowledge, and information collections. This will result in an unprecedented level of functionality and will lay the foundations for the long-term unification of knowledge preservation and analysis across domains within a distributed grid-based infrastructure.

Fields of science

Programme(s)

Topic(s)

Call for proposal

FP7-ICT-2007-1
See other projects for this call

Funding Scheme

CP - Collaborative project (generic)

Coordinator Contact

Riestra Ruben Mr

Coordinator

INMARK ESTUDIOS Y ESTRATEGIAS SA
EU contribution
€ 940 515,00
Address
AV LLANO CASTELLANO 43
28010 MADRID
Spain

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost
No data

Participants (17)

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Last update: 25 May 2022

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Permalink: https://cordis.europa.eu/project/id/216736

European Union, 2024