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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 2,681 to 2,700.First131132133134135136137138Last
Id Label Status Status Modified Notation
08274 Marcq Quick edit Valid 2013-05-30 08274
08275 Margny Quick edit Valid 2013-05-30 08275
08276 Margut Quick edit Valid 2013-05-30 08276
08277 Marlemont Quick edit Valid 2013-05-30 08277
08278 Marquigny Quick edit Valid 2013-05-30 08278
08279 Mars-sous-Bourcq Quick edit Valid 2013-05-30 08279
08280 Marvaux-Vieux Quick edit Valid 2013-05-30 08280
08281 Matton-et-Clémency Quick edit Valid 2013-05-30 08281
08282 Maubert-Fontaine Quick edit Valid 2013-05-30 08282
08283 Mazerny Quick edit Valid 2013-05-30 08283
08284 Les Mazures Quick edit Valid 2013-05-30 08284
08286 Ménil-Annelles Quick edit Valid 2013-05-30 08286
08287 Ménil-Lépinois Quick edit Valid 2013-05-30 08287
08288 Mesmont Quick edit Valid 2013-05-30 08288
08289 Messincourt Quick edit Valid 2013-05-30 08289
08291 Mogues Quick edit Valid 2013-05-30 08291
08293 Moiry Quick edit Valid 2013-05-30 08293
08294 La Moncelle Quick edit Valid 2013-05-30 08294
08295 Mondigny Quick edit Valid 2013-05-30 08295
08296 Montcheutin Quick edit Valid 2013-05-30 08296
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?