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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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
4350 Zarasų miesto seniūnija Quick edit Valid 2013-05-30 4350
4362 Suvieko seniūnija Quick edit Valid 2013-05-30 4362
4371 Turmanto seniūnija Quick edit Valid 2013-05-30 4371
4501 Ignalinos miesto seniūnija Quick edit Valid 2013-05-30 4501
4504 Vidiškių seniūnija Quick edit Valid 2013-05-30 4504
4520 Didžiasalio seniūnija Quick edit Valid 2013-05-30 4520
4522 Dūkšto seniūnija Quick edit Valid 2013-05-30 4522
4525 Ignalinos seniūnija Quick edit Valid 2013-05-30 4525
4528 Kazitiškio seniūnija Quick edit Valid 2013-05-30 4528
4534 Linkmenų seniūnija Quick edit Valid 2013-05-30 4534
4537 Mielagėnų seniūnija Quick edit Valid 2013-05-30 4537
4542 Naujojo Daugėliškio seniūnija Quick edit Valid 2013-05-30 4542
4549 Rimšės seniūnija Quick edit Valid 2013-05-30 4549
4559 Tverečiaus seniūnija Quick edit Valid 2013-05-30 4559
4562 Ceikinių seniūnija Quick edit Valid 2013-05-30 4562
4601 Jonavos miesto seniūnija Quick edit Valid 2013-05-30 4601
4607 Bukonių seniūnija Quick edit Valid 2013-05-30 4607
4613 Dumsių seniūnija Quick edit Valid 2013-05-30 4613
4620 Ruklos seniūnija Quick edit Valid 2013-05-30 4620
4624 Žeimių seniūnija Quick edit Valid 2013-05-30 4624
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?