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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 2,821 to 2,840.First138139140141142143144145Last
Id Label Status Status Modified Notation
560405 Kladruby Quick edit Valid 2013-05-30 560405
560413 Jindřichovice Quick edit Valid 2013-05-30 560413
560421 Kaceřov Quick edit Valid 2013-05-30 560421
560430 Zhoř u Tábora Quick edit Valid 2013-05-30 560430
560448 Běleč Quick edit Valid 2013-05-30 560448
560456 Krajková Quick edit Valid 2013-05-30 560456
560464 Královské Poříčí Quick edit Valid 2013-05-30 560464
560472 Kraslice Quick edit Valid 2013-05-30 560472
560481 Hlasivo Quick edit Valid 2013-05-30 560481
560499 Kynšperk nad Ohří Quick edit Valid 2013-05-30 560499
560502 Libavské Údolí Quick edit Valid 2013-05-30 560502
560511 Řemíčov Quick edit Valid 2013-05-30 560511
560529 Dolní Hrachovice Quick edit Valid 2013-05-30 560529
560537 Loket Quick edit Valid 2013-05-30 560537
560545 Lomnice Quick edit Valid 2013-05-30 560545
560553 Pohnánec Quick edit Valid 2013-05-30 560553
560561 Nová Ves Quick edit Valid 2013-05-30 560561
560570 Nové Sedlo Quick edit Valid 2013-05-30 560570
560588 Oloví Quick edit Valid 2013-05-30 560588
560596 Přebuz Quick edit Valid 2013-05-30 560596
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?