AIMS

DSpace-GLAM based on DSpace-CRIS : Manage, Analyze & Preserve your digital heritage

DSpace-GLAM (Galleries, Libraries, Archives, Museums) is the Digital Library Management System based on DSpace and DSpace-CRIS (Current Research Information System).

DSpace-GLAM is developed by 4Science Team aiming to fill cultural heritage institutions needs regarding the management, analysis and preservation of digital cultural heritage. In particular : 

The 4Science Team …

is focused on international collaboration and sharing to develop, integrate and promote the adoption of technological standards and open source solutions (with a set of services) on support of the life of a digital project.

By promoting support Open Source projects and communities, and the use of international standards and cutting-edge technologies, 4Science helps you make your data, information and digital resources meaningful.

In the Big Data Age, Digital Library Management Systems have to forcefully enter the research process to manage both qualitative and quantitative aspects of Digital Cultural Heritage and allow researchers also to analyze data, highlighting and enhancing their relationships at different scales.

Therefore the flexibility of the Data Model and the availability of tools for analysis and interpretation become fundamental features for such systems.

To face these challenges, the 4Science Team has developed DSpace-GLAM - an additional open-source configuration for the DSpace platform - that not only includes functionalities of  DSpace-CRIS (Current Research Information System) but is also trying to cover cultural objects in the era of Big Data. 

DSpace-GLAM Data Model …

… extends the DSpace Data Model providing the ability to manage, collect and expose Data about every entity important for the cultural heritage domain, such as Persons, Events, Places, Concepts and other entities.

Due to its extensible Data Model, DSpace-GLAM is able to manage different metadata standards, according to different projects needs  (from Dublin Core / DC to LIDO to hierarchical archival standards, such as Encoded Archival Description / EAD).

If you already have DSpace-CRIS installed, the best way to integrate it with GLAM is not to download DSpace-GLAM, but to improve the CRIS data model, adding the further entities useful to your needs (events, places, concepts and so on).

Currently, the 4Science Team is working on an out-of-box compliance with Europeana for DSpace-GLAM (through mapping DSpace DC elements to Europeana Data Model / EDM).

Explore DSpace-GLAM features, using this public demo

For more information contact 4Science Team

Join DSpace Entities Working Group (In order to integrate IRs with CRIS,  we need more accurate information which would result in to provide metrics, reports, develop integrations and services ...)

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