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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 32,201 to 32,220.First1,6071,6081,6091,6101,6111,6121,6131,614Last
Id Label Status Status Modified Notation
78367 Mareil-Marly Quick edit Valid 2013-05-30 78367
78368 Mareil-sur-Mauldre Quick edit Valid 2013-05-30 78368
78372 Marly-le-Roi Quick edit Valid 2013-05-30 78372
78380 Maule Quick edit Valid 2013-05-30 78380
78381 Maulette Quick edit Valid 2013-05-30 78381
78382 Maurecourt Quick edit Valid 2013-05-30 78382
78383 Maurepas Quick edit Valid 2013-05-30 78383
78384 Médan Quick edit Valid 2013-05-30 78384
78385 Ménerville Quick edit Valid 2013-05-30 78385
78389 Méré Quick edit Valid 2013-05-30 78389
78391 Méricourt Quick edit Valid 2013-05-30 78391
78396 Le Mesnil-le-Roi Quick edit Valid 2013-05-30 78396
78397 Le Mesnil-Saint-Denis Quick edit Valid 2013-05-30 78397
78398 Les Mesnuls Quick edit Valid 2013-05-30 78398
78401 Meulan Quick edit Valid 2013-05-30 78401
78402 Mézières-sur-Seine Quick edit Valid 2013-05-30 78402
78403 Mézy-sur-Seine Quick edit Valid 2013-05-30 78403
78404 Millemont Quick edit Valid 2013-05-30 78404
78406 Milon-la-Chapelle Quick edit Valid 2013-05-30 78406
78407 Mittainville Quick edit Valid 2013-05-30 78407
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?