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Metadata Quality Module v1.1

The Metadata Quality Module is an add-on for DSpace 1.4 and 1.5, serving as a toolkit to safeguard the quality of metadata in larger DSpace repositories.

As a result of batch imports or a multitude of individual item submissions, the quality of the metadata in the repository can become an issue. Arising problems include faulty notations of author names and unconventional abbreviations, due to errors during entry or character set conversions. Another possible severe issue is the presence of duplicate information, especially when the repository's data is being used for statistics and evaluation.

Concept

The Metadata Quality Module approaches these issues from two different directions. At one hand, powerful mass-edit features enables instant modification to a multitude of items in a repository, in a safe and functional way. On the other hand, duplicate detection and resolving algorithms both aid to free the repository from duplicates and ensure that the system remains free of duplicates afterwards.

Mass-Editing

Powerful mass-edit features enable instant modification of a multitude of metadata records in a repository. Repository managers, responsible for the repository content and quality, use the metadata quality module to optimize the task of performing corrections or adjustments. These are generally necessary after users repeatedly enter incorrect or malformed metadata. Manual intervention by the repository manager is also often required after a batch import process that inserted specific data in the wrong metadata field, or when items need to be moved across collections.

To avoid hours or days of manual error correction and modification of individual metadata records, the Metadata Quality Module implements a series of steps allowing fast and safe batch transformations of metadata.

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Duplicate Detection and Resolving

Duplicate detection and resolving algorithms can free the repository from duplicates and ensure that the repository remains free of duplicates in the future. This is integrated in both the administrator's interface and in the item submission process. During submission the duplicate detection algorithms alert users who are about to submit an item closely resembling items already present in the repository. In the administrator interfaces the repository can be crawled for possible duplicates, which then can be merged.

play Watch the demo.
(Quicktime required)

DSpace Add-on

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