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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 3,161 to 3,180.First155156157158159160161162Last
Id Label Status Status Modified Notation
09270 Saint-Martin-d'Oydes Quick edit Valid 2013-05-30 09270
09271 Saint-Michel Quick edit Valid 2013-05-30 09271
09272 Saint-Paul-de-Jarrat Quick edit Valid 2013-05-30 09272
09273 Saint-Pierre-de-Rivière Quick edit Valid 2013-05-30 09273
09274 Saint-Quentin-la-Tour Quick edit Valid 2013-05-30 09274
09275 Saint-Quirc Quick edit Valid 2013-05-30 09275
09276 Saint-Victor-Rouzaud Quick edit Valid 2013-05-30 09276
09277 Saint-Ybars Quick edit Valid 2013-05-30 09277
09279 Salsein Quick edit Valid 2013-05-30 09279
09280 Saurat Quick edit Valid 2013-05-30 09280
09281 Sautel Quick edit Valid 2013-05-30 09281
09282 Saverdun Quick edit Valid 2013-05-30 09282
09283 Savignac-les-Ormeaux Quick edit Valid 2013-05-30 09283
09284 Ségura Quick edit Valid 2013-05-30 09284
09285 Seix Quick edit Valid 2013-05-30 09285
09286 Sem Quick edit Valid 2013-05-30 09286
09287 Senconac Quick edit Valid 2013-05-30 09287
09289 Lorp-Sentaraille Quick edit Valid 2013-05-30 09289
09290 Sentein Quick edit Valid 2013-05-30 09290
09291 Sentenac-d'Oust Quick edit Valid 2013-05-30 09291
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?