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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 3,321 to 3,340.First163164165166167168169170Last
Id Label Status Status Modified Notation
33099 Corravaddy Quick edit Valid 2013-05-30 33099
33100 Edenacarnan Quick edit Valid 2013-05-30 33100
33101 Gartan Quick edit Valid 2013-05-30 33101
33102 Gortnavern Quick edit Valid 2013-05-30 33102
33103 Killymasny Quick edit Valid 2013-05-30 33103
33104 Kincraigy Quick edit Valid 2013-05-30 33104
33105 Letterkenny Rural Quick edit Valid 2013-05-30 33105
33106 Magheraboy Quick edit Valid 2013-05-30 33106
33107 Manorcunningham Quick edit Valid 2013-05-30 33107
33108 Seacor Quick edit Valid 2013-05-30 33108
33109 Templedouglas Quick edit Valid 2013-05-30 33109
33110 Ballyarr Quick edit Valid 2013-05-30 33110
33111 Carrickart Quick edit Valid 2013-05-30 33111
33112 Carrowkeel Quick edit Valid 2013-05-30 33112
33113 Cranford Quick edit Valid 2013-05-30 33113
33114 Fanad North Quick edit Valid 2013-05-30 33114
33115 Fanad West Quick edit Valid 2013-05-30 33115
33116 Glen Quick edit Valid 2013-05-30 33116
33117 Glenalla Quick edit Valid 2013-05-30 33117
33118 Greenfort Quick edit Valid 2013-05-30 33118
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?