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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

36,682 concepts found, displaying 1,441 to 1,460.First6970717273747576Last
Id Label Status Status Modified Notation
03207 Pierrefitte-sur-Loire Quick edit Valid 2013-05-30 03207
03208 Le Pin Quick edit Valid 2013-05-30 03208
03209 Poëzat Quick edit Valid 2013-05-30 03209
03210 Pouzy-Mésangy Quick edit Valid 2013-05-30 03210
03211 Prémilhat Quick edit Valid 2013-05-30 03211
03212 Quinssaines Quick edit Valid 2013-05-30 03212
03213 Reugny Quick edit Valid 2013-05-30 03213
03214 Rocles Quick edit Valid 2013-05-30 03214
03215 Rongères Quick edit Valid 2013-05-30 03215
03216 Ronnet Quick edit Valid 2013-05-30 03216
03217 Saint-Angel Quick edit Valid 2013-05-30 03217
03218 Saint-Aubin-le-Monial Quick edit Valid 2013-05-30 03218
03219 Saint-Bonnet-de-Four Quick edit Valid 2013-05-30 03219
03220 Saint-Bonnet-de-Rochefort Quick edit Valid 2013-05-30 03220
03221 Saint-Bonnet-Tronçais Quick edit Valid 2013-05-30 03221
03222 Saint-Caprais Quick edit Valid 2013-05-30 03222
03223 Saint-Christophe Quick edit Valid 2013-05-30 03223
03224 Saint-Clément Quick edit Valid 2013-05-30 03224
03225 Saint-Désiré Quick edit Valid 2013-05-30 03225
03226 Saint-Didier-en-Donjon Quick edit Valid 2013-05-30 03226
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?