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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 31,981 to 32,000.First1,5961,5971,5981,5991,6001,6011,6021,603Last
Id Label Status Status Modified Notation
77451 Signy-Signets Quick edit Valid 2013-05-30 77451
77452 Sigy Quick edit Valid 2013-05-30 77452
77453 Sivry-Courtry Quick edit Valid 2013-05-30 77453
77454 Sognolles-en-Montois Quick edit Valid 2013-05-30 77454
77455 Soignolles-en-Brie Quick edit Valid 2013-05-30 77455
77456 Soisy-Bouy Quick edit Valid 2013-05-30 77456
77457 Solers Quick edit Valid 2013-05-30 77457
77458 Souppes-sur-Loing Quick edit Valid 2013-05-30 77458
77459 Sourdun Quick edit Valid 2013-05-30 77459
77460 Tancrou Quick edit Valid 2013-05-30 77460
77461 Thénisy Quick edit Valid 2013-05-30 77461
77462 Thieux Quick edit Valid 2013-05-30 77462
77463 Thomery Quick edit Valid 2013-05-30 77463
77464 Thorigny-sur-Marne Quick edit Valid 2013-05-30 77464
77465 Thoury-Férottes Quick edit Valid 2013-05-30 77465
77466 Tigeaux Quick edit Valid 2013-05-30 77466
77467 La Tombe Quick edit Valid 2013-05-30 77467
77468 Torcy Quick edit Valid 2013-05-30 77468
77469 Touquin Quick edit Valid 2013-05-30 77469
77470 Tournan-en-Brie Quick edit Valid 2013-05-30 77470
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?