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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

551 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
3651 Papilio seniūnija Quick edit Valid 2013-05-30 3651
3654 Parovėjos seniūnija Quick edit Valid 2013-05-30 3654
3805 Valkininkų seniūnija Quick edit Valid 2013-05-30 3805
3808 Varėnos seniūnija Quick edit Valid 2013-05-30 3808
3813 Vydenių seniūnija Quick edit Valid 2013-05-30 3813
3826 Kaniavos seniūnija Quick edit Valid 2013-05-30 3826
3838 Marcinkonių seniūnija Quick edit Valid 2013-05-30 3838
3842 Matuizų seniūnija Quick edit Valid 2013-05-30 3842
3847 Merkinės seniūnija Quick edit Valid 2013-05-30 3847
3879 Jakėnų seniūnija Quick edit Valid 2013-05-30 3879
3910 Vilkaviškio miesto seniūnija Quick edit Valid 2013-05-30 3910
3914 Bartninkų seniūnija Quick edit Valid 2013-05-30 3914
3920 Vištyčio seniūnija Quick edit Valid 2013-05-30 3920
3926 Gižų seniūnija Quick edit Valid 2013-05-30 3926
3930 Gražiškių seniūnija Quick edit Valid 2013-05-30 3930
3935 Klausučių seniūnija Quick edit Valid 2013-05-30 3935
3938 Keturvalakių seniūnija Quick edit Valid 2013-05-30 3938
3942 Kybartų seniūnija Quick edit Valid 2013-05-30 3942
3956 Pajevonio seniūnija Quick edit Valid 2013-05-30 3956
3960 Pilviškių seniūnija Quick edit Valid 2013-05-30 3960
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?