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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 1,721 to 1,740.First8384858687888990Last
Id Label Status Status Modified Notation
545716 Přední Výtoň Quick edit Valid 2013-05-30 545716
545724 Přídolí Quick edit Valid 2013-05-30 545724
545732 Přísečná Quick edit Valid 2013-05-30 545732
545767 Rožmberk nad Vltavou Quick edit Valid 2013-05-30 545767
545775 Rožmitál na Šumavě Quick edit Valid 2013-05-30 545775
545783 Dobrná Quick edit Valid 2013-05-30 545783
545791 Merboltice Quick edit Valid 2013-05-30 545791
545805 Soběnov Quick edit Valid 2013-05-30 545805
545813 Světlík Quick edit Valid 2013-05-30 545813
545821 Velešín Quick edit Valid 2013-05-30 545821
545830 Větřní Quick edit Valid 2013-05-30 545830
545848 Vyšší Brod Quick edit Valid 2013-05-30 545848
545856 Dolní Habartice Quick edit Valid 2013-05-30 545856
545864 Zlatá Koruna Quick edit Valid 2013-05-30 545864
545872 Zubčice Quick edit Valid 2013-05-30 545872
545881 Jindřichův Hradec Quick edit Valid 2013-05-30 545881
545899 Františkov nad Ploučnicí Quick edit Valid 2013-05-30 545899
545902 Borová Lada Quick edit Valid 2013-05-30 545902
545929 Horní Habartice Quick edit Valid 2013-05-30 545929
545937 Lažany Quick edit Valid 2013-05-30 545937
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?