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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 921 to 940.First4344454647484950Last
Id Label Status Status Modified Notation
14026 Gabarevo Quick edit Valid 2013-05-30 14026
14034 Gaber Quick edit Valid 2013-05-30 14034
14043 Gaber Quick edit Valid 2013-05-30 14043
14057 Gaberovo Quick edit Valid 2013-05-30 14057
14060 Gaberovo Quick edit Valid 2013-05-30 14060
14074 Gabra Quick edit Valid 2013-05-30 14074
14088 Gabraka Quick edit Valid 2013-05-30 14088
14091 Gabrene Quick edit Valid 2013-05-30 14091
14101 Gabreshevtsi Quick edit Valid 2013-05-30 14101
14115 Gabrina Quick edit Valid 2013-05-30 14115
14129 Gabritsa Quick edit Valid 2013-05-30 14129
14132 Gabritsa Quick edit Valid 2013-05-30 14132
14146 Gabrovdol Quick edit Valid 2013-05-30 14146
14163 Gabrovitsa Quick edit Valid 2013-05-30 14163
14180 Gabrovnitsa Quick edit Valid 2013-05-30 14180
14194 Gabrovnitsa Quick edit Valid 2013-05-30 14194
14204 Gabrovo Quick edit Valid 2013-05-30 14204
14218 Gabrovo Quick edit Valid 2013-05-30 14218
14221 Gabrovo Quick edit Valid 2013-05-30 14221
14235 Gabrovtsi Quick edit Valid 2013-05-30 14235
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?