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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 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
4635 Kulvos seniūnija Quick edit Valid 2013-05-30 4635
4657 Upninkų seniūnija Quick edit Valid 2013-05-30 4657
4668 Užusalių seniūnija Quick edit Valid 2013-05-30 4668
4677 Šilų seniūnija Quick edit Valid 2013-05-30 4677
4713 Gataučių seniūnija Quick edit Valid 2013-05-30 4713
4720 Gaižaičių seniūnija Quick edit Valid 2013-05-30 4720
4726 Žagarės seniūnija Quick edit Valid 2013-05-30 4726
4731 Kriukų seniūnija Quick edit Valid 2013-05-30 4731
4735 Kepalių seniūnija Quick edit Valid 2013-05-30 4735
4744 Rudiškių seniūnija Quick edit Valid 2013-05-30 4744
4747 Satkūnų seniūnija Quick edit Valid 2013-05-30 4747
4751 Saugėlaukio seniūnija Quick edit Valid 2013-05-30 4751
4756 Skaistgirio seniūnija Quick edit Valid 2013-05-30 4756
4760 Joniškio seniūnija Quick edit Valid 2013-05-30 4760
4814 Akmenynų seniūnija Quick edit Valid 2013-05-30 4814
4834 Kalvarijos seniūnija Quick edit Valid 2013-05-30 4834
4839 Liubavo seniūnija Quick edit Valid 2013-05-30 4839
4862 Sangrūdos seniūnija Quick edit Valid 2013-05-30 4862
4909 Žąslių seniūnija Quick edit Valid 2013-05-30 4909
4913 Žiežmarių apylinkės seniūnija Quick edit Valid 2013-05-30 4913
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?