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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 1,221 to 1,240.First5859606162636465Last
Id Label Status Status Modified Notation
15038 Arklow Rural Quick edit Valid 2013-05-30 15038
15039 Aughrim Quick edit Valid 2013-05-30 15039
15040 Avoca Quick edit Valid 2013-05-30 15040
15041 Ballinaclash Quick edit Valid 2013-05-30 15041
15042 Ballinacor Quick edit Valid 2013-05-30 15042
15043 Ballinderry Quick edit Valid 2013-05-30 15043
15044 Ballyarthur Quick edit Valid 2013-05-30 15044
15045 Ballycullen Quick edit Valid 2013-05-30 15045
15046 Brockagh Quick edit Valid 2013-05-30 15046
15047 Calary Quick edit Valid 2013-05-30 15047
15048 Cronebane Quick edit Valid 2013-05-30 15048
15049 Dunganstown East Quick edit Valid 2013-05-30 15049
15050 Dunganstown South Quick edit Valid 2013-05-30 15050
15051 Dunganstown West Quick edit Valid 2013-05-30 15051
15052 Ennereilly Quick edit Valid 2013-05-30 15052
15053 Glendalough Quick edit Valid 2013-05-30 15053
15054 Glenealy Quick edit Valid 2013-05-30 15054
15055 Kilbride Quick edit Valid 2013-05-30 15055
15056 Kilcoole Quick edit Valid 2013-05-30 15056
15057 Killiskey Quick edit Valid 2013-05-30 15057
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?