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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 32,001 to 32,020.First1,5971,5981,5991,6001,6011,6021,6031,604Last
Id Label Status Status Modified Notation
77471 Tousson Quick edit Valid 2013-05-30 77471
77472 La Trétoire Quick edit Valid 2013-05-30 77472
77473 Treuzy-Levelay Quick edit Valid 2013-05-30 77473
77474 Trilbardou Quick edit Valid 2013-05-30 77474
77475 Trilport Quick edit Valid 2013-05-30 77475
77476 Trocy-en-Multien Quick edit Valid 2013-05-30 77476
77477 Ury Quick edit Valid 2013-05-30 77477
77478 Ussy-sur-Marne Quick edit Valid 2013-05-30 77478
77479 Vaires-sur-Marne Quick edit Valid 2013-05-30 77479
77480 Valence-en-Brie Quick edit Valid 2013-05-30 77480
77481 Vanvillé Quick edit Valid 2013-05-30 77481
77482 Varennes-sur-Seine Quick edit Valid 2013-05-30 77482
77483 Varreddes Quick edit Valid 2013-05-30 77483
77484 Vaucourtois Quick edit Valid 2013-05-30 77484
77485 Le Vaudoué Quick edit Valid 2013-05-30 77485
77486 Vaudoy-en-Brie Quick edit Valid 2013-05-30 77486
77487 Vaux-le-Pénil Quick edit Valid 2013-05-30 77487
77489 Vaux-sur-Lunain Quick edit Valid 2013-05-30 77489
77490 Vendrest Quick edit Valid 2013-05-30 77490
77491 Veneux-les-Sablons Quick edit Valid 2013-05-30 77491
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?