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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 34,781 to 34,800.First1,7361,7371,7381,7391,7401,7411,7421,743Last
Id Label Status Status Modified Notation
86288 Vicq-sur-Gartempe Quick edit Valid 2013-05-30 86288
86289 Le Vigeant Quick edit Valid 2013-05-30 86289
86290 La Villedieu-du-Clain Quick edit Valid 2013-05-30 86290
86291 Villemort Quick edit Valid 2013-05-30 86291
86292 Villiers Quick edit Valid 2013-05-30 86292
86293 Vivonne Quick edit Valid 2013-05-30 86293
86294 Vouillé Quick edit Valid 2013-05-30 86294
86295 Voulême Quick edit Valid 2013-05-30 86295
86296 Voulon Quick edit Valid 2013-05-30 86296
86297 Vouneuil-sous-Biard Quick edit Valid 2013-05-30 86297
86298 Vouneuil-sur-Vienne Quick edit Valid 2013-05-30 86298
86299 Vouzailles Quick edit Valid 2013-05-30 86299
86300 Yversay Quick edit Valid 2013-05-30 86300
87001 Aixe-sur-Vienne Quick edit Valid 2013-05-30 87001
87002 Ambazac Quick edit Valid 2013-05-30 87002
87003 Arnac-la-Poste Quick edit Valid 2013-05-30 87003
87004 Augne Quick edit Valid 2013-05-30 87004
87005 Aureil Quick edit Valid 2013-05-30 87005
87006 Azat-le-Ris Quick edit Valid 2013-05-30 87006
87007 Balledent Quick edit Valid 2013-05-30 87007
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?