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 36,121 to 36,140.First1,8031,8041,8051,8061,8071,8081,8091,810Last
Id Label Status Status Modified Notation
91182 Courcouronnes Quick edit Valid 2013-05-30 91182
91184 Courdimanche-sur-Essonne Quick edit Valid 2013-05-30 91184
91186 Courson-Monteloup Quick edit Valid 2013-05-30 91186
91191 Crosne Quick edit Valid 2013-05-30 91191
91195 Dannemois Quick edit Valid 2013-05-30 91195
91198 D'Huison-Longueville Quick edit Valid 2013-05-30 91198
91200 Dourdan Quick edit Valid 2013-05-30 91200
91201 Draveil Quick edit Valid 2013-05-30 91201
91204 Écharcon Quick edit Valid 2013-05-30 91204
91207 Égly Quick edit Valid 2013-05-30 91207
91215 Épinay-sous-Sénart Quick edit Valid 2013-05-30 91215
91216 Épinay-sur-Orge Quick edit Valid 2013-05-30 91216
91222 Estouches Quick edit Valid 2013-05-30 91222
91223 Étampes Quick edit Valid 2013-05-30 91223
91225 Étiolles Quick edit Valid 2013-05-30 91225
91226 Étréchy Quick edit Valid 2013-05-30 91226
91228 Évry Quick edit Valid 2013-05-30 91228
91232 La Ferté-Alais Quick edit Valid 2013-05-30 91232
91235 Fleury-Mérogis Quick edit Valid 2013-05-30 91235
91240 Fontaine-la-Rivière Quick edit Valid 2013-05-30 91240
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?