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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 35,301 to 35,320.First1,7621,7631,7641,7651,7661,7671,7681,769Last
Id Label Status Status Modified Notation
88314 Morizécourt Quick edit Valid 2013-05-30 88314
88315 Mortagne Quick edit Valid 2013-05-30 88315
88316 Morville Quick edit Valid 2013-05-30 88316
88317 Moussey Quick edit Valid 2013-05-30 88317
88318 Moyemont Quick edit Valid 2013-05-30 88318
88319 Moyenmoutier Quick edit Valid 2013-05-30 88319
88320 Nayemont-les-Fosses Quick edit Valid 2013-05-30 88320
88321 Neufchâteau Quick edit Valid 2013-05-30 88321
88322 La Neuveville-devant-Lépanges Quick edit Valid 2013-05-30 88322
88324 La Neuveville-sous-Châtenois Quick edit Valid 2013-05-30 88324
88325 La Neuveville-sous-Montfort Quick edit Valid 2013-05-30 88325
88326 Neuvillers-sur-Fave Quick edit Valid 2013-05-30 88326
88327 Nomexy Quick edit Valid 2013-05-30 88327
88328 Nompatelize Quick edit Valid 2013-05-30 88328
88330 Nonville Quick edit Valid 2013-05-30 88330
88331 Nonzeville Quick edit Valid 2013-05-30 88331
88332 Norroy Quick edit Valid 2013-05-30 88332
88333 Nossoncourt Quick edit Valid 2013-05-30 88333
88334 Oëlleville Quick edit Valid 2013-05-30 88334
88335 Offroicourt Quick edit Valid 2013-05-30 88335
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?