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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 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
02534 Muscourt Quick edit Valid 2013-05-30 02534
02535 Nampcelles-la-Cour Quick edit Valid 2013-05-30 02535
02536 Nampteuil-sous-Muret Quick edit Valid 2013-05-30 02536
02537 Nanteuil-la-Fosse Quick edit Valid 2013-05-30 02537
02538 Nanteuil-Notre-Dame Quick edit Valid 2013-05-30 02538
02539 Nauroy Quick edit Valid 2013-05-30 02539
02540 Nesles-la-Montagne Quick edit Valid 2013-05-30 02540
02541 Neufchâtel-sur-Aisne Quick edit Valid 2013-05-30 02541
02542 Neuflieux Quick edit Valid 2013-05-30 02542
02543 Neuilly-Saint-Front Quick edit Valid 2013-05-30 02543
02544 Neuve-Maison Quick edit Valid 2013-05-30 02544
02545 La Neuville-Bosmont Quick edit Valid 2013-05-30 02545
02546 La Neuville-en-Beine Quick edit Valid 2013-05-30 02546
02547 La Neuville-Housset Quick edit Valid 2013-05-30 02547
02548 La Neuville-lès-Dorengt Quick edit Valid 2013-05-30 02548
02549 Neuville-Saint-Amand Quick edit Valid 2013-05-30 02549
02550 Neuville-sur-Ailette Quick edit Valid 2013-05-30 02550
02551 Neuville-sur-Margival Quick edit Valid 2013-05-30 02551
02552 Neuvillette Quick edit Valid 2013-05-30 02552
02553 Nizy-le-Comte Quick edit Valid 2013-05-30 02553
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?