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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 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
02107 Inchicore B Quick edit Valid 2013-05-30 02107
02108 Kilmainham A Quick edit Valid 2013-05-30 02108
02109 Kilmainham B Quick edit Valid 2013-05-30 02109
02110 Kilmainham C Quick edit Valid 2013-05-30 02110
02111 Kimmage A Quick edit Valid 2013-05-30 02111
02112 Kimmage B Quick edit Valid 2013-05-30 02112
02113 Kimmage C Quick edit Valid 2013-05-30 02113
02114 Kimmage D Quick edit Valid 2013-05-30 02114
02115 Kimmage E Quick edit Valid 2013-05-30 02115
02116 Kylemore Quick edit Valid 2013-05-30 02116
02117 Mansion House A Quick edit Valid 2013-05-30 02117
02118 Mansion House B Quick edit Valid 2013-05-30 02118
02119 Merchants Quay A Quick edit Valid 2013-05-30 02119
02120 Merchants Quay B Quick edit Valid 2013-05-30 02120
02121 Merchants Quay C Quick edit Valid 2013-05-30 02121
02122 Merchants Quay D Quick edit Valid 2013-05-30 02122
02123 Merchants Quay E Quick edit Valid 2013-05-30 02123
02124 Merchants Quay F Quick edit Valid 2013-05-30 02124
02125 Pembroke East A Quick edit Valid 2013-05-30 02125
02126 Pembroke East B Quick edit Valid 2013-05-30 02126
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?