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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 221 to 240.First89101112131415Last
Id Label Status Status Modified Notation
5349 Pelėdnagių seniūnija Quick edit Valid 2013-05-30 5349
5352 Pernaravos seniūnija Quick edit Valid 2013-05-30 5352
5355 Surviliškio seniūnija Quick edit Valid 2013-05-30 5355
5370 Truskavos seniūnija Quick edit Valid 2013-05-30 5370
5377 Šėtos seniūnija Quick edit Valid 2013-05-30 5377
5401 Kelmės seniūnija Quick edit Valid 2013-05-30 5401
5405 Vaiguvos seniūnija Quick edit Valid 2013-05-30 5405
5409 Kukečių seniūnija Quick edit Valid 2013-05-30 5409
5419 Kelmės apylinkių seniūnija Quick edit Valid 2013-05-30 5419
5425 Kražių seniūnija Quick edit Valid 2013-05-30 5425
5437 Liolių seniūnija Quick edit Valid 2013-05-30 5437
5456 Pakražančio seniūnija Quick edit Valid 2013-05-30 5456
5473 Tytuvėnų seniūnija Quick edit Valid 2013-05-30 5473
5475 Tytuvėnų apylinkių seniūnija Quick edit Valid 2013-05-30 5475
5477 Užvenčio seniūnija Quick edit Valid 2013-05-30 5477
5480 Šaukėnų seniūnija Quick edit Valid 2013-05-30 5480
5501 Gargždų seniūnija Quick edit Valid 2013-05-30 5501
5504 Agluonėnų seniūnija Quick edit Valid 2013-05-30 5504
5510 Judrėnų seniūnija Quick edit Valid 2013-05-30 5510
5513 Vėžaičių seniūnija Quick edit Valid 2013-05-30 5513
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?