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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 21 to 40.First12345678Last
Id Label Status Status Modified Notation
1320 Žvėryno seniūnija Quick edit Valid 2013-05-30 1320
1321 Grigiškių seniūnija Quick edit Valid 2013-05-30 1321
1545 Leipalingio seniūnija Quick edit Valid 2013-05-30 1545
1570 Viečiūnų seniūnija Quick edit Valid 2013-05-30 1570
1801 Degučių seniūnija Quick edit Valid 2013-05-30 1801
1802 Mokolų seniūnija Quick edit Valid 2013-05-30 1802
1803 Narto seniūnija Quick edit Valid 2013-05-30 1803
1820 Gudelių seniūnija Quick edit Valid 2013-05-30 1820
1830 Igliaukos seniūnija Quick edit Valid 2013-05-30 1830
1842 Liudvinavo seniūnija Quick edit Valid 2013-05-30 1842
1847 Marijampolės seniūnija Quick edit Valid 2013-05-30 1847
1867 Sasnavos seniūnija Quick edit Valid 2013-05-30 1867
1876 Šunskų seniūnija Quick edit Valid 2013-05-30 1876
1901 Centro seniūnija Quick edit Valid 2013-05-30 1901
1902 Žaliakalnio seniūnija Quick edit Valid 2013-05-30 1902
1903 Šančių seniūnija Quick edit Valid 2013-05-30 1903
1904 Dainavos seniūnija Quick edit Valid 2013-05-30 1904
1905 Gričiupio seniūnija Quick edit Valid 2013-05-30 1905
1906 Petrašiūnų seniūnija Quick edit Valid 2013-05-30 1906
1907 Panemunės seniūnija Quick edit Valid 2013-05-30 1907
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?