Project description
Digital libraries and technology-enhanced learning
PROTAGE addressed the challenges related to the preservation of digital resources of increasing volume and heterogeneity. The solution proposed was to develop tools allowing for more efficiency and self-reliance of preservation processes.
For this purpuse, PROTAGE researchers explored the value of a promising technology - software agents - for the automation of digital preservation processes. Based on the latest research on digital preservation strategies and on autonomous systems, the project has built and validated flexible and extensible software agents for long-term digital preservation and access that can cooperate with and be integrated in existing and new preservation systems to support various aspects of the digital preservation workflow such as the submission / ingestion of digital material, monitoring of preservation systems and transfer between repositories.
Tools developed by the PROTAGE project will:
- enable content producers to create and publish in a preservation-compatible manner,
- provide digital repositories with means of further automating the preservation processes,
- facilitate seamless interoperation between content providers, libraries and archives, and end-users throughout Europe.
Targeted end users are curators and digital content creators, including individuals managing their own digital collections. PROTAGE has used archive and library materials from the project partners for initial system and user tests and material from external stakeholders for further validation. The Swedish Centre of Competence for Long-term Preservation ensures the availability of results to a wider community of memory institutions. The industrial partners have the possibility to use the research results to develop commercial solutions.
The aim of the project is to investigate and initiate complementary new approaches to digital preservation.
The rapidly growing volume of digital information is causing data transfer from active IT systems to digital repositories at an increasing pace. This makes it necessary to find new levels of automation and self-reliance in preservation solutions. The diversity in sizes and complexity among new digital resources imply that the repository systems must be highly adaptable to various types of input, storage and access.
The PROTAGE solution is to link digital objects to long-term digital preservation processes by using agent-based software technology. Based on the latest research on digital preservation strategies and on autonomous systems, the PROTAGE project will build and validate flexible and extensible software agents for long-term digital preservation and access that can cooperate with and be integrated in existing and new preservation systems. Intended application areas for prototypes produced by the PROTAGE project cover submission of digital material as well as monitoring of preservation systems and transfer between repositories.
Tools developed by the PROTAGE project will:
- allow content producers to create and publish in a preservation-compatible manner,
- provide digital repositories with means of further automating the preservation processes,
- facilitate seamless interoperation between content providers, libraries and archives, and end-users throughout Europe.
Targeted end users are curators and digital content creators including individuals managing their own digital collections.
PROTAGE will use archive and library materials from the project partners for system and user tests and external stakeholders in further validation. The Swedish Centre of Competence for Long-term Preservation will ensure availability of results to a wider community of memory institutions. The industrial partners will use the results to develop commercial solutions.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- social sciences sociology industrial relations automation
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
187 13 TABY
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.