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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 2,381 to 2,400.First116117118119120121122123Last
Id Label Status Status Modified Notation
553271 Veselí nad Lužnicí Quick edit Valid 2013-05-30 553271
553280 Vilice Quick edit Valid 2013-05-30 553280
553298 Vlastiboř Quick edit Valid 2013-05-30 553298
553301 Hradec-Nová Ves Quick edit Valid 2013-05-30 553301
553310 Vlkov Quick edit Valid 2013-05-30 553310
553328 Vodice Quick edit Valid 2013-05-30 553328
553336 Třeština Quick edit Valid 2013-05-30 553336
553344 Jakubovice Quick edit Valid 2013-05-30 553344
553352 Postřelmůvek Quick edit Valid 2013-05-30 553352
553361 Zálší Quick edit Valid 2013-05-30 553361
553379 Dolní Studénky Quick edit Valid 2013-05-30 553379
553387 Hraběšice Quick edit Valid 2013-05-30 553387
553395 Rejchartice Quick edit Valid 2013-05-30 553395
553409 Zvěrotice Quick edit Valid 2013-05-30 553409
553417 Želeč Quick edit Valid 2013-05-30 553417
553425 Domažlice Quick edit Valid 2013-05-30 553425
553433 Babylon Quick edit Valid 2013-05-30 553433
553441 Bělá nad Radbuzou Quick edit Valid 2013-05-30 553441
553450 Blížejov Quick edit Valid 2013-05-30 553450
553468 Velká Kraš Quick edit Valid 2013-05-30 553468
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?