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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 35,861 to 35,880.First1,7901,7911,7921,7931,7941,7951,7961,797Last
Id Label Status Status Modified Notation
89376 Sarry Quick edit Valid 2013-05-30 89376
89377 Sauvigny-le-Beuréal Quick edit Valid 2013-05-30 89377
89378 Sauvigny-le-Bois Quick edit Valid 2013-05-30 89378
89379 Savigny-en-Terre-Plaine Quick edit Valid 2013-05-30 89379
89380 Savigny-sur-Clairis Quick edit Valid 2013-05-30 89380
89381 Sceaux Quick edit Valid 2013-05-30 89381
89382 Seignelay Quick edit Valid 2013-05-30 89382
89383 Sementron Quick edit Valid 2013-05-30 89383
89384 Senan Quick edit Valid 2013-05-30 89384
89385 Sennevoy-le-Bas Quick edit Valid 2013-05-30 89385
89386 Sennevoy-le-Haut Quick edit Valid 2013-05-30 89386
89387 Sens Quick edit Valid 2013-05-30 89387
89388 Sépeaux Quick edit Valid 2013-05-30 89388
89390 Serbonnes Quick edit Valid 2013-05-30 89390
89391 Sergines Quick edit Valid 2013-05-30 89391
89392 Sermizelles Quick edit Valid 2013-05-30 89392
89393 Serrigny Quick edit Valid 2013-05-30 89393
89394 Sery Quick edit Valid 2013-05-30 89394
89395 Les Sièges Quick edit Valid 2013-05-30 89395
89397 Sommecaise Quick edit Valid 2013-05-30 89397
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?