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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

6,250 concepts found, displaying 4,921 to 4,940.First243244245246247248249250Last
Id Label Status Status Modified Notation
584266 Želešice Quick edit Valid 2013-05-30 584266
584274 Železné Quick edit Valid 2013-05-30 584274
584282 Židlochovice Quick edit Valid 2013-05-30 584282
584291 Břeclav Quick edit Valid 2013-05-30 584291
584304 Bavory Quick edit Valid 2013-05-30 584304
584321 Boleradice Quick edit Valid 2013-05-30 584321
584339 Borkovany Quick edit Valid 2013-05-30 584339
584347 Bořetice Quick edit Valid 2013-05-30 584347
584355 Brod nad Dyjí Quick edit Valid 2013-05-30 584355
584363 Brumovice Quick edit Valid 2013-05-30 584363
584371 Březí Quick edit Valid 2013-05-30 584371
584380 Bulhary Quick edit Valid 2013-05-30 584380
584401 Diváky Quick edit Valid 2013-05-30 584401
584410 Dobré Pole Quick edit Valid 2013-05-30 584410
584428 Dolní Dunajovice Quick edit Valid 2013-05-30 584428
584436 Dolní Věstonice Quick edit Valid 2013-05-30 584436
584444 Drnholec Quick edit Valid 2013-05-30 584444
584452 Hlohovec Quick edit Valid 2013-05-30 584452
584461 Horní Bojanovice Quick edit Valid 2013-05-30 584461
584479 Horní Věstonice Quick edit Valid 2013-05-30 584479
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?