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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 5,881 to 5,900.First291292293294295296297298Last
Id Label Status Status Modified Notation
595462 Daňkovice Quick edit Valid 2013-05-30 595462
595471 Dlouhé Quick edit Valid 2013-05-30 595471
595489 Dobrá Voda Quick edit Valid 2013-05-30 595489
595501 Dolní Heřmanice Quick edit Valid 2013-05-30 595501
595519 Dolní Libochová Quick edit Valid 2013-05-30 595519
595527 Dolní Loučky Quick edit Valid 2013-05-30 595527
595535 Dolní Rožínka Quick edit Valid 2013-05-30 595535
595551 Doubravník Quick edit Valid 2013-05-30 595551
595560 Drahonín Quick edit Valid 2013-05-30 595560
595578 Fryšava pod Žákovou horou Quick edit Valid 2013-05-30 595578
595586 Hamry nad Sázavou Quick edit Valid 2013-05-30 595586
595594 Herálec Quick edit Valid 2013-05-30 595594
595608 Heřmanov Quick edit Valid 2013-05-30 595608
595624 Hodíškov Quick edit Valid 2013-05-30 595624
595641 Bory Quick edit Valid 2013-05-30 595641
595659 Horní Libochová Quick edit Valid 2013-05-30 595659
595667 Horní Loučky Quick edit Valid 2013-05-30 595667
595675 Horní Radslavice Quick edit Valid 2013-05-30 595675
595683 Horní Rožínka Quick edit Valid 2013-05-30 595683
595705 Chlum-Korouhvice Quick edit Valid 2013-05-30 595705
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?