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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 501 to 520.First2122232425262728Last
Id Label Status Status Modified Notation
8719 Laukuvos seniūnija Quick edit Valid 2013-05-30 8719
8736 Pajūrio seniūnija Quick edit Valid 2013-05-30 8736
8741 Palentinio seniūnija Quick edit Valid 2013-05-30 8741
8749 Tenenių seniūnija Quick edit Valid 2013-05-30 8749
8769 Upynos seniūnija Quick edit Valid 2013-05-30 8769
8770 Šilalės kaimiškoji seniūnija Quick edit Valid 2013-05-30 8770
8771 Traksėdžio seniūnija Quick edit Valid 2013-05-30 8771
8777 Žadeikių seniūnija Quick edit Valid 2013-05-30 8777
8801 Šilutės seniūnija Quick edit Valid 2013-05-30 8801
8806 Vainuto seniūnija Quick edit Valid 2013-05-30 8806
8813 Gardamo seniūnija Quick edit Valid 2013-05-30 8813
8820 Žemaičių Naumiesčio seniūnija Quick edit Valid 2013-05-30 8820
8840 Katyčių seniūnija Quick edit Valid 2013-05-30 8840
8850 Kintų seniūnija Quick edit Valid 2013-05-30 8850
8866 Rusnės seniūnija Quick edit Valid 2013-05-30 8866
8872 Saugų seniūnija Quick edit Valid 2013-05-30 8872
8884 Usėnų seniūnija Quick edit Valid 2013-05-30 8884
8888 Švėkšnos seniūnija Quick edit Valid 2013-05-30 8888
8897 Juknaičių seniūnija Quick edit Valid 2013-05-30 8897
8904 Alionių seniūnija Quick edit Valid 2013-05-30 8904
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?