Iryna Solodovnik of the University of Calabria published a new article presenting a specific metadata profile for describing Institutional Repository (IR) information resources.

The article has been published this month in JLIS.it, an academic, international, peer-reviewed and open access journal, under the title:

Development of a metadata schema describing Institutional Repository content objects enhanced by ”LODE-BD” strategies

Solodovnik has developed a specific metadata profile for Institutional Repository resources, based on Guidelines for metadata creation and management in Institutional Repositories, LODE-BD Recommendations and other principles and strategies for qualitative development of metadata representing contents and properties of digital contents.

The article aims at:

• Making a short overview of Linked Data origins and its benefits for digital contents;
• describing a role of controlled and semantic vocabularies in improving creation, access and retrieval of digital contents;
• overviewing some approaches, documents and principles for creating metadata elements describing IR objects;
• presenting benefits of ”LODE-BD” Recommendations;
• contributing with an extension to ”Intellectual Property Rights” LODE-BD’s Decision Tree, providing decision steps to licence choice.
• discussing briefly ”Design-time” and ”Run-time” LODE-BD implementation strategies and reporting thereupon some practice examples.

LODE-BD

The LODE-BD Recommendations are applicable for structured data describing bibliographic resources such as articles, monographs, theses, conference papers, presentation materials, research reports, learning objects, etc. – in print or electronic format.

The core component of LODE-BD contains a set of recommended decision trees for common properties used in describing a bibliographic resource instance. Each decision tree is delivered with various acting points and the matching encoding suggestions. The full range of options presented by LODE-BD will enable data providers to make their choices according to their development stages, internal data structures, and the reality of their practices.