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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 2,741 to 2,760.First134135136137138139140141Last
Id Label Status Status Modified Notation
28038 Cloonlogher Quick edit Valid 2013-05-30 28038
28039 Drumahaire Quick edit Valid 2013-05-30 28039
28040 Drumkeeran Quick edit Valid 2013-05-30 28040
28041 Garvagh Quick edit Valid 2013-05-30 28041
28042 Glenade Quick edit Valid 2013-05-30 28042
28043 Glenaniff Quick edit Valid 2013-05-30 28043
28044 Glenboy Quick edit Valid 2013-05-30 28044
28045 Glencar Quick edit Valid 2013-05-30 28045
28046 Glenfarn Quick edit Valid 2013-05-30 28046
28047 Killanummery Quick edit Valid 2013-05-30 28047
28048 Killarga Quick edit Valid 2013-05-30 28048
28049 Kiltyclogher Quick edit Valid 2013-05-30 28049
28050 Lurganboy Quick edit Valid 2013-05-30 28050
28051 Mahanagh Quick edit Valid 2013-05-30 28051
28052 Manorhamilton Quick edit Valid 2013-05-30 28052
28053 Munakill Quick edit Valid 2013-05-30 28053
28054 Sramore Quick edit Valid 2013-05-30 28054
28055 St. Patrick's Quick edit Valid 2013-05-30 28055
28056 Aghavas Quick edit Valid 2013-05-30 28056
28057 Beihy Quick edit Valid 2013-05-30 28057
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?