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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 861 to 880.First4041424344454647Last
Id Label Status Status Modified Notation
02454 La Malmaison Quick edit Valid 2013-05-30 02454
02455 Malzy Quick edit Valid 2013-05-30 02455
02456 Manicamp Quick edit Valid 2013-05-30 02456
02457 Marchais Quick edit Valid 2013-05-30 02457
02458 Marchais-en-Brie Quick edit Valid 2013-05-30 02458
02459 Marcy Quick edit Valid 2013-05-30 02459
02460 Marcy-sous-Marle Quick edit Valid 2013-05-30 02460
02461 Marest-Dampcourt Quick edit Valid 2013-05-30 02461
02462 Mareuil-en-Dôle Quick edit Valid 2013-05-30 02462
02463 Marfontaine Quick edit Valid 2013-05-30 02463
02464 Margival Quick edit Valid 2013-05-30 02464
02465 Marigny-en-Orxois Quick edit Valid 2013-05-30 02465
02466 Marizy-Sainte-Geneviève Quick edit Valid 2013-05-30 02466
02467 Marizy-Saint-Mard Quick edit Valid 2013-05-30 02467
02468 Marle Quick edit Valid 2013-05-30 02468
02469 Marly-Gomont Quick edit Valid 2013-05-30 02469
02470 Martigny Quick edit Valid 2013-05-30 02470
02471 Martigny-Courpierre Quick edit Valid 2013-05-30 02471
02472 Mauregny-en-Haye Quick edit Valid 2013-05-30 02472
02473 Mayot Quick edit Valid 2013-05-30 02473
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?