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 741 to 760.First3435363738394041Last
Id Label Status Status Modified Notation
02330 Francilly-Selency Quick edit Valid 2013-05-30 02330
02331 Franqueville Quick edit Valid 2013-05-30 02331
02332 Fresnes-en-Tardenois Quick edit Valid 2013-05-30 02332
02333 Fresnes Quick edit Valid 2013-05-30 02333
02334 Fresnoy-le-Grand Quick edit Valid 2013-05-30 02334
02335 Fressancourt Quick edit Valid 2013-05-30 02335
02336 Frières-Faillouël Quick edit Valid 2013-05-30 02336
02337 Froidestrées Quick edit Valid 2013-05-30 02337
02338 Froidmont-Cohartille Quick edit Valid 2013-05-30 02338
02339 Gandelu Quick edit Valid 2013-05-30 02339
02340 Gauchy Quick edit Valid 2013-05-30 02340
02341 Gercy Quick edit Valid 2013-05-30 02341
02342 Gergny Quick edit Valid 2013-05-30 02342
02343 Germaine Quick edit Valid 2013-05-30 02343
02344 Gernicourt Quick edit Valid 2013-05-30 02344
02345 Gibercourt Quick edit Valid 2013-05-30 02345
02346 Gizy Quick edit Valid 2013-05-30 02346
02347 Gland Quick edit Valid 2013-05-30 02347
02348 Glennes Quick edit Valid 2013-05-30 02348
02349 Goudelancourt-lès-Berrieux Quick edit Valid 2013-05-30 02349
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?