You are here:
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 36,481 to 36,500.First1,8211,8221,8231,8241,8251,8261,8271,828Last
Id Label Status Status Modified Notation
95331 Lassy Quick edit Valid 2013-05-30 95331
95341 Livilliers Quick edit Valid 2013-05-30 95341
95348 Longuesse Quick edit Valid 2013-05-30 95348
95351 Louvres Quick edit Valid 2013-05-30 95351
95352 Luzarches Quick edit Valid 2013-05-30 95352
95353 Maffliers Quick edit Valid 2013-05-30 95353
95355 Magny-en-Vexin Quick edit Valid 2013-05-30 95355
95365 Mareil-en-France Quick edit Valid 2013-05-30 95365
95369 Margency Quick edit Valid 2013-05-30 95369
95370 Marines Quick edit Valid 2013-05-30 95370
95371 Marly-la-Ville Quick edit Valid 2013-05-30 95371
95379 Maudétour-en-Vexin Quick edit Valid 2013-05-30 95379
95387 Menouville Quick edit Valid 2013-05-30 95387
95388 Menucourt Quick edit Valid 2013-05-30 95388
95392 Mériel Quick edit Valid 2013-05-30 95392
95394 Méry-sur-Oise Quick edit Valid 2013-05-30 95394
95395 Le Mesnil-Aubry Quick edit Valid 2013-05-30 95395
95409 Moisselles Quick edit Valid 2013-05-30 95409
95422 Montgeroult Quick edit Valid 2013-05-30 95422
95424 Montigny-lès-Cormeilles Quick edit Valid 2013-05-30 95424
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?