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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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
02474 Mennessis Quick edit Valid 2013-05-30 02474
02475 Menneville Quick edit Valid 2013-05-30 02475
02476 Mennevret Quick edit Valid 2013-05-30 02476
02477 Mercin-et-Vaux Quick edit Valid 2013-05-30 02477
02478 Merlieux-et-Fouquerolles Quick edit Valid 2013-05-30 02478
02479 Merval Quick edit Valid 2013-05-30 02479
02480 Mesbrecourt-Richecourt Quick edit Valid 2013-05-30 02480
02481 Mesnil-Saint-Laurent Quick edit Valid 2013-05-30 02481
02482 Meurival Quick edit Valid 2013-05-30 02482
02483 Mézières-sur-Oise Quick edit Valid 2013-05-30 02483
02484 Mézy-Moulins Quick edit Valid 2013-05-30 02484
02485 Missy-aux-Bois Quick edit Valid 2013-05-30 02485
02486 Missy-lès-Pierrepont Quick edit Valid 2013-05-30 02486
02487 Missy-sur-Aisne Quick edit Valid 2013-05-30 02487
02488 Molain Quick edit Valid 2013-05-30 02488
02489 Molinchart Quick edit Valid 2013-05-30 02489
02490 Monampteuil Quick edit Valid 2013-05-30 02490
02491 Monceau-le-Neuf-et-Faucouzy Quick edit Valid 2013-05-30 02491
02492 Monceau-lès-Leups Quick edit Valid 2013-05-30 02492
02493 Monceau-le-Waast Quick edit Valid 2013-05-30 02493
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?