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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 901 to 920.First4243444546474849Last
Id Label Status Status Modified Notation
02494 Monceau-sur-Oise Quick edit Valid 2013-05-30 02494
02495 Mondrepuis Quick edit Valid 2013-05-30 02495
02496 Monnes Quick edit Valid 2013-05-30 02496
02497 Mons-en-Laonnois Quick edit Valid 2013-05-30 02497
02498 Montaigu Quick edit Valid 2013-05-30 02498
02499 Montbavin Quick edit Valid 2013-05-30 02499
02500 Montbrehain Quick edit Valid 2013-05-30 02500
02501 Montchâlons Quick edit Valid 2013-05-30 02501
02502 Montcornet Quick edit Valid 2013-05-30 02502
02503 Mont-d'Origny Quick edit Valid 2013-05-30 02503
02504 Montescourt-Lizerolles Quick edit Valid 2013-05-30 02504
02505 Montfaucon Quick edit Valid 2013-05-30 02505
02506 Montgobert Quick edit Valid 2013-05-30 02506
02507 Montgru-Saint-Hilaire Quick edit Valid 2013-05-30 02507
02508 Monthenault Quick edit Valid 2013-05-30 02508
02509 Monthiers Quick edit Valid 2013-05-30 02509
02510 Monthurel Quick edit Valid 2013-05-30 02510
02511 Montigny-en-Arrouaise Quick edit Valid 2013-05-30 02511
02512 Montigny-l'Allier Quick edit Valid 2013-05-30 02512
02513 Montigny-le-Franc Quick edit Valid 2013-05-30 02513
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?