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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 2,281 to 2,300.First111112113114115116117118Last
Id Label Status Status Modified Notation
07193 Rocher Quick edit Valid 2013-05-30 07193
07194 Rochessauve Quick edit Valid 2013-05-30 07194
07195 La Rochette Quick edit Valid 2013-05-30 07195
07196 Rocles Quick edit Valid 2013-05-30 07196
07197 Roiffieux Quick edit Valid 2013-05-30 07197
07198 Rompon Quick edit Valid 2013-05-30 07198
07199 Rosières Quick edit Valid 2013-05-30 07199
07200 Le Roux Quick edit Valid 2013-05-30 07200
07201 Ruoms Quick edit Valid 2013-05-30 07201
07202 Sablières Quick edit Valid 2013-05-30 07202
07203 Sagnes-et-Goudoulet Quick edit Valid 2013-05-30 07203
07204 Saint-Agrève Quick edit Valid 2013-05-30 07204
07205 Saint-Alban-d'Ay Quick edit Valid 2013-05-30 07205
07206 Saint-Alban-en-Montagne Quick edit Valid 2013-05-30 07206
07207 Saint-Alban-Auriolles Quick edit Valid 2013-05-30 07207
07208 Saint-Andéol-de-Berg Quick edit Valid 2013-05-30 07208
07209 Saint-Andéol-de-Fourchades Quick edit Valid 2013-05-30 07209
07210 Saint-Andéol-de-Vals Quick edit Valid 2013-05-30 07210
07211 Saint-André-de-Cruzières Quick edit Valid 2013-05-30 07211
07212 Saint-André-en-Vivarais Quick edit Valid 2013-05-30 07212
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?