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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
3348 Pivašiūnų seniūnija Quick edit Valid 2013-05-30 3348
3353 Punios seniūnija Quick edit Valid 2013-05-30 3353
3359 Raitininkų seniūnija Quick edit Valid 2013-05-30 3359
3380 Simno seniūnija Quick edit Valid 2013-05-30 3380
3408 Anykščių seniūnija Quick edit Valid 2013-05-30 3408
3410 Andrioniškio seniūnija Quick edit Valid 2013-05-30 3410
3413 Viešintų seniūnija Quick edit Valid 2013-05-30 3413
3418 Debeikių seniūnija Quick edit Valid 2013-05-30 3418
3422 Kavarsko seniūnija Quick edit Valid 2013-05-30 3422
3426 Kurklių seniūnija Quick edit Valid 2013-05-30 3426
3442 Svėdasų seniūnija Quick edit Valid 2013-05-30 3442
3449 Skiemonių seniūnija Quick edit Valid 2013-05-30 3449
3462 Traupio seniūnija Quick edit Valid 2013-05-30 3462
3469 Troškūnų seniūnija Quick edit Valid 2013-05-30 3469
3601 Biržų miesto seniūnija Quick edit Valid 2013-05-30 3601
3604 Širvėnos seniūnija Quick edit Valid 2013-05-30 3604
3609 Vabalninko seniūnija Quick edit Valid 2013-05-30 3609
3640 Nemunėlio Radviliškio seniūnija Quick edit Valid 2013-05-30 3640
3648 Pabiržės seniūnija Quick edit Valid 2013-05-30 3648
3649 Pačeriaukštės seniūnija Quick edit Valid 2013-05-30 3649
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?