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  • Batch editing of metadata (e.g. perform an external spell check)
  • Batch additions of metadata (e.g. add an abstract to a set of items, add controlled vocabulary such as LCSH)
  • Batch find and replace of metadata values (e.g. correct misspelled surname across several records)
  • Mass move items between collections
  • Enable the batch addition of new items (without bitstreams) via a CSV file
  • Re-order the values in a list (e.g. authors)

Export Function

The following table summarizes the basics.

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Command used:

[dspace]/bin/dspace metadata-export

]]></ac:plain-text-body></ac:structured-macro>

Java class:

org.dspace.app.bulkedit.MetadataExport

Arguments short and (long) forms):

Description

-f or --file

Required. The filename of the resulting CSV.

-i or --id

The Item, Collection, or Community handle or Database ID to export. If not specified, all items will be exported.

-a or --all

Include all the metadata fields that are not normally changed (e.g. provenance) or those fields you configured in the dspace.cfg to be ignored on export.

-h or --help

Display the help page.

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Command used:

[dspace]/bin/dspace metadata-import

]]></ac:plain-text-body></ac:structured-macro>

Java class:

org.dspace.app.bulkedit.MetadataImport

Arguments short and (long) forms:

Description

-f or --file

Required. The filename of the CSV file to load.

-s or --silent

Silent mode. The import function does not prompt you to make sure you wish to make the changes.

-e or --email

The email address of the user. This is only required when adding new items.

-w or --workflow

When adding new items, the program will queue the items up to use the Collection Workflow processes.

-n or --notify

when adding new items using a workflow, send notification emails.

-t or --template

When adding new items, use the Collection template, if it exists.

-h or --help

Display the brief help page.

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When importing a csv file, the importer will overlay the data onto what is already in the repository to determine the differences. It only acts on the contents of the csv file, rather than on the complete item metadata. This means that the CSV file that is exported can be manipulated quite substantially before being re-imported. Rows (items) or Columns (metadata elements) can be removed and will be ignored. For example, if you only want to edit item abstracts, you can remove all of the other columns and just leave the abstract column. (You do need to leave the ID column intact. This is mandatory).

Editing collection membership.

Items can be moved between collections by editing the collection handles in the 'collection' column. Multiple collections can be included. The first collection is the 'owning collection'. The owning collection is the primary collection that the item appears in. Subsequent collections (separated by the field separator) are treated as mapped collections. These are the same as using the map item functionality in the DSpace user interface. To move items between collections, or to edit which other collections they are mapped to, change the data in the collection column.

Adding Metadata-Only Items

items.New metadata-only items can be added to DSpace using the batch metadata importer. To do this, enter a plus sign '+' in the first 'id' column. The importer will then treat this as a new item. If you are using the command line importer, you will need to use the -e flag to specify the user email address or id of the user that is registered as submitting the items.

Deleting Data

.It is possible to perform deletes across the board of certain metadata fields from an exported file. For example, let's say you have used keywords (dc.subject) that need to be removed en masse. You would leave the column (dc.subject) intact, but remove the data in the corresponding rows.

Migrating Data or Exchanging data.

It is possible that you have data in one Dublin Core (DC) element and you wish to really have it in another. An example would be that your staff have input Library of Congress Subject Headings in the Subject field (dc.subject) instead of the LCSH field (dc.subject.lcsh). Follow these steps and your data is migrated upon import:

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