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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 3,561 to 3,580.First175176177178179180181182Last
Id Label Status Status Modified Notation
568481 Bernartice nad Odrou Quick edit Valid 2013-05-30 568481
568490 Čachotín Quick edit Valid 2013-05-30 568490
568503 Česká Bělá Quick edit Valid 2013-05-30 568503
568511 Hostašovice Quick edit Valid 2013-05-30 568511
568520 Číhošť Quick edit Valid 2013-05-30 568520
568538 Dlouhá Ves Quick edit Valid 2013-05-30 568538
568546 Kunín Quick edit Valid 2013-05-30 568546
568554 Rybí Quick edit Valid 2013-05-30 568554
568562 Heřmanice u Oder Quick edit Valid 2013-05-30 568562
568571 Heřmánky Quick edit Valid 2013-05-30 568571
568589 Mankovice Quick edit Valid 2013-05-30 568589
568597 Dolní Krupá Quick edit Valid 2013-05-30 568597
568601 Dolní Město Quick edit Valid 2013-05-30 568601
568619 Druhanov Quick edit Valid 2013-05-30 568619
568635 Golčův Jeníkov Quick edit Valid 2013-05-30 568635
568643 Kateřinice Quick edit Valid 2013-05-30 568643
568651 Habry Quick edit Valid 2013-05-30 568651
568660 Havlíčkova Borová Quick edit Valid 2013-05-30 568660
568678 Herálec Quick edit Valid 2013-05-30 568678
568686 Mošnov Quick edit Valid 2013-05-30 568686
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?