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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

3,441 concepts found, displaying 2,081 to 2,100.First101102103104105106107108Last
Id Label Status Status Modified Notation
21059 Castleconnell Quick edit Valid 2013-05-30 21059
21060 Clarina Quick edit Valid 2013-05-30 21060
21061 Clonkeen Quick edit Valid 2013-05-30 21061
21062 Doon West Quick edit Valid 2013-05-30 21062
21063 Glenstal Quick edit Valid 2013-05-30 21063
21064 Kilmurry Quick edit Valid 2013-05-30 21064
21065 Limerick North Rural Quick edit Valid 2013-05-30 21065
21066 Limerick South Rural Quick edit Valid 2013-05-30 21066
21067 Patrickswell Quick edit Valid 2013-05-30 21067
21068 Roxborough Quick edit Valid 2013-05-30 21068
21069 Anglesborough Quick edit Valid 2013-05-30 21069
21070 Ballylanders Quick edit Valid 2013-05-30 21070
21071 Cullane Quick edit Valid 2013-05-30 21071
21072 Duntryleague Quick edit Valid 2013-05-30 21072
21073 Galbally Quick edit Valid 2013-05-30 21073
21074 Kilbeheny Quick edit Valid 2013-05-30 21074
21075 Kilglass Quick edit Valid 2013-05-30 21075
21076 Knocknascrow Quick edit Valid 2013-05-30 21076
21077 Riversdale Quick edit Valid 2013-05-30 21077
21078 Abbeyfeale Quick edit Valid 2013-05-30 21078
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?