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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 541 to 551.First2122232425262728NextLast
Id Label Status Status Modified Notation
9435 Girdžių seniūnija Quick edit Valid 2013-05-30 9435
9450 Raudonės seniūnija Quick edit Valid 2013-05-30 9450
9460 Skirsnemunės seniūnija Quick edit Valid 2013-05-30 9460
9469 Seredžiaus seniūnija Quick edit Valid 2013-05-30 9469
9475 Smalininkų seniūnija Quick edit Valid 2013-05-30 9475
9480 Šimkaičių seniūnija Quick edit Valid 2013-05-30 9480
9485 Eržvilko seniūnija Quick edit Valid 2013-05-30 9485
9490 Juodaičių seniūnija Quick edit Valid 2013-05-30 9490
9494 Jurbarko miesto seniūnija Quick edit Valid 2013-05-30 9494
9497 Jurbarkų seniūnija Quick edit Valid 2013-05-30 9497
n.a. Alytaus m. sav. Quick edit Valid 2013-05-30 n.a.
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?