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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 35,781 to 35,800.First1,7861,7871,7881,7891,7901,7911,7921,793Last
Id Label Status Status Modified Notation
89290 Pasilly Quick edit Valid 2013-05-30 89290
89291 Passy Quick edit Valid 2013-05-30 89291
89292 Percey Quick edit Valid 2013-05-30 89292
89294 Perreux Quick edit Valid 2013-05-30 89294
89295 Perrigny Quick edit Valid 2013-05-30 89295
89296 Perrigny-sur-Armançon Quick edit Valid 2013-05-30 89296
89297 Pierre-Perthuis Quick edit Valid 2013-05-30 89297
89298 Piffonds Quick edit Valid 2013-05-30 89298
89299 Pimelles Quick edit Valid 2013-05-30 89299
89300 Pisy Quick edit Valid 2013-05-30 89300
89302 Plessis-Saint-Jean Quick edit Valid 2013-05-30 89302
89303 Poilly-sur-Serein Quick edit Valid 2013-05-30 89303
89304 Poilly-sur-Tholon Quick edit Valid 2013-05-30 89304
89306 Pontaubert Quick edit Valid 2013-05-30 89306
89307 Pontigny Quick edit Valid 2013-05-30 89307
89308 Pont-sur-Vanne Quick edit Valid 2013-05-30 89308
89309 Pont-sur-Yonne Quick edit Valid 2013-05-30 89309
89310 La Postolle Quick edit Valid 2013-05-30 89310
89311 Pourrain Quick edit Valid 2013-05-30 89311
89312 Précy-le-Sec Quick edit Valid 2013-05-30 89312
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?