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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 3,501 to 3,520.First172173174175176177178179Last
Id Label Status Status Modified Notation
10278 Pargues Quick edit Valid 2013-05-30 10278
10279 Pars-lès-Chavanges Quick edit Valid 2013-05-30 10279
10280 Pars-lès-Romilly Quick edit Valid 2013-05-30 10280
10281 Le Pavillon-Sainte-Julie Quick edit Valid 2013-05-30 10281
10282 Payns Quick edit Valid 2013-05-30 10282
10283 Pel-et-Der Quick edit Valid 2013-05-30 10283
10284 Périgny-la-Rose Quick edit Valid 2013-05-30 10284
10285 Perthes-lès-Brienne Quick edit Valid 2013-05-30 10285
10286 Petit-Mesnil Quick edit Valid 2013-05-30 10286
10287 Piney Quick edit Valid 2013-05-30 10287
10288 Plaines-Saint-Lange Quick edit Valid 2013-05-30 10288
10289 Plancy-l'Abbaye Quick edit Valid 2013-05-30 10289
10290 Planty Quick edit Valid 2013-05-30 10290
10291 Plessis-Barbuise Quick edit Valid 2013-05-30 10291
10293 Poivres Quick edit Valid 2013-05-30 10293
10294 Poligny Quick edit Valid 2013-05-30 10294
10295 Polisot Quick edit Valid 2013-05-30 10295
10296 Polisy Quick edit Valid 2013-05-30 10296
10297 Pont-Sainte-Marie Quick edit Valid 2013-05-30 10297
10298 Pont-sur-Seine Quick edit Valid 2013-05-30 10298
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?