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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 36,501 to 36,520.First1,8221,8231,8241,8251,8261,8271,8281,829Last
Id Label Status Status Modified Notation
95426 Montlignon Quick edit Valid 2013-05-30 95426
95427 Montmagny Quick edit Valid 2013-05-30 95427
95428 Montmorency Quick edit Valid 2013-05-30 95428
95429 Montreuil-sur-Epte Quick edit Valid 2013-05-30 95429
95430 Montsoult Quick edit Valid 2013-05-30 95430
95436 Mours Quick edit Valid 2013-05-30 95436
95438 Moussy Quick edit Valid 2013-05-30 95438
95445 Nerville-la-Forêt Quick edit Valid 2013-05-30 95445
95446 Nesles-la-Vallée Quick edit Valid 2013-05-30 95446
95447 Neuilly-en-Vexin Quick edit Valid 2013-05-30 95447
95450 Neuville-sur-Oise Quick edit Valid 2013-05-30 95450
95452 Nointel Quick edit Valid 2013-05-30 95452
95456 Noisy-sur-Oise Quick edit Valid 2013-05-30 95456
95459 Nucourt Quick edit Valid 2013-05-30 95459
95462 Omerville Quick edit Valid 2013-05-30 95462
95476 Osny Quick edit Valid 2013-05-30 95476
95480 Parmain Quick edit Valid 2013-05-30 95480
95483 Le Perchay Quick edit Valid 2013-05-30 95483
95487 Persan Quick edit Valid 2013-05-30 95487
95488 Pierrelaye Quick edit Valid 2013-05-30 95488
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?