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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 3,521 to 3,540.First173174175176177178179180Last
Id Label Status Status Modified Notation
10299 Pouan-les-Vallées Quick edit Valid 2013-05-30 10299
10300 Pougy Quick edit Valid 2013-05-30 10300
10301 Pouy-sur-Vannes Quick edit Valid 2013-05-30 10301
10302 Praslin Quick edit Valid 2013-05-30 10302
10303 Précy-Notre-Dame Quick edit Valid 2013-05-30 10303
10304 Précy-Saint-Martin Quick edit Valid 2013-05-30 10304
10305 Prémierfait Quick edit Valid 2013-05-30 10305
10306 Proverville Quick edit Valid 2013-05-30 10306
10307 Prugny Quick edit Valid 2013-05-30 10307
10308 Prunay-Belleville Quick edit Valid 2013-05-30 10308
10309 Prusy Quick edit Valid 2013-05-30 10309
10310 Puits-et-Nuisement Quick edit Valid 2013-05-30 10310
10312 Racines Quick edit Valid 2013-05-30 10312
10313 Radonvilliers Quick edit Valid 2013-05-30 10313
10314 Ramerupt Quick edit Valid 2013-05-30 10314
10315 Rances Quick edit Valid 2013-05-30 10315
10316 Rhèges Quick edit Valid 2013-05-30 10316
10317 Les Riceys Quick edit Valid 2013-05-30 10317
10318 Rigny-la-Nonneuse Quick edit Valid 2013-05-30 10318
10319 Rigny-le-Ferron Quick edit Valid 2013-05-30 10319
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?