PRODUCT OVERVIEW
OMNES DAM: The Source of Digital Knowledge
OMNES DAM empowers businesses and organisations to efficiently manage their entire digital asset repository, ensuring easy accessibility and traceability. This includes all media assets, such as images, videos, documents, and audio files, providing unparalleled capabilities for visualising, consuming, and managing images and videos within a shared environment.
This cutting-edge software, improves upon traditional Digital Asset Management (DAM) systems by using a comprehensive set of predefined criteria, including keywords, dates, and descriptions, which can be categorised systematically for efficient retrieval. It facilitates hierarchical classification of assets through the implementation of a robust taxonomy, enabling precise and effective sorting of resources.
Particularly powerful features of OMNES DAM include:
- Customised asset templates - for input of different types of data. So, each different department could have its own specific template to match their particular documents. This could be defined as a file or a folder, as there can be different taxonomy in the same institution. This ensures consistent brand messaging and asset management across teams and channels.
- Metadata search - the ability to search by metadata is an integral component, enabling easier and more accurate functionality in the handling of any digital asset class.
- Classification Plan - enables dynamic classification of documents in a tree structure. In addition, this classification can change over time allowing automatic transfer of data at all levels.
OMNES DAM archives and harnesses the intellectual capital, culture, and historical heritage of an organisation. As a result, it provides an inexhaustible source of knowledge both internally and externally. The solution fosters synergies, optimizes workflow processes, and strategically contributes to the sustainable growth and performance of an organisation.
OMNES CONFORMS TO INDUSTRY STANDARDS
OAI-PMH
IIIF
DUBLIN CORE
SCHEMA METS
The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is a protocol developed by the Open Archives Initiative as a communication infrastructure for Open Access. It is used to collect metadata from documents in an archive so that services can be built using metadata from multiple archives.
IIIF (International Image Interoperability Framework) is an open standard for the viewing, analysis, and manipulation of digital images. The main purpose of IIIF is to enable the sharing and interoperability of digital images across different platforms and applications, regardless of the original image format or the system used to store it.
Dublin Core is an international metadata standard, formally known as the Dublin Core Metadata Element Set, and includes 15 metadata terms. These terms offer expanded cataloging information and improved document indexing for search engine programs.
Metadata Encoding and Transmission Standard (METS). The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, using the XML schema language, which expresses the hierarchical structure of digital library objects.
OMNES è conforme agli standard di settore
OAI-PMH
The Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) is a protocol developed by the Open Archives Initiative as a communication infrastructure for Open Access. It is used to collect metadata from documents in an archive so that services can be built using metadata from multiple archives.
IIIF
IIIF (International Image Interoperability Framework) is an open standard for the viewing, analysis, and manipulation of digital images. The main purpose of IIIF is to enable the sharing and interoperability of digital images across different platforms and applications, regardless of the original image format or the system used to store it.
DUBLIN CORE
Dublin Core is an international metadata standard, formally known as the Dublin Core Metadata Element Set, and includes 15 metadata terms. These terms offer expanded cataloging information and improved document indexing for search engine programs.
SCHEMA METS
Metadata Encoding and Transmission Standard (METS). The METS schema is a standard for encoding descriptive, administrative, and structural metadata regarding objects within a digital library, using the XML schema language, which expresses the hierarchical structure of digital library objects.
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