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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 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
6309 Vilkyškių seniūnija Quick edit Valid 2013-05-30 6309
6360 Pagėgių seniūnija Quick edit Valid 2013-05-30 6360
6361 Natkiškių seniūnija Quick edit Valid 2013-05-30 6361
6378 Stoniškių seniūnija Quick edit Valid 2013-05-30 6378
6504 Guostagalio seniūnija Quick edit Valid 2013-05-30 6504
6512 Žeimelio seniūnija Quick edit Valid 2013-05-30 6512
6518 Klovainių seniūnija Quick edit Valid 2013-05-30 6518
6529 Lygumų seniūnija Quick edit Valid 2013-05-30 6529
6536 Linkuvos seniūnija Quick edit Valid 2013-05-30 6536
6546 Pakruojo seniūnija Quick edit Valid 2013-05-30 6546
6558 Pašvitinio seniūnija Quick edit Valid 2013-05-30 6558
6568 Rozalimo seniūnija Quick edit Valid 2013-05-30 6568
6608 Vadoklių seniūnija Quick edit Valid 2013-05-30 6608
6616 Velžio seniūnija Quick edit Valid 2013-05-30 6616
6625 Karsakiškio seniūnija Quick edit Valid 2013-05-30 6625
6630 Krekenavos seniūnija Quick edit Valid 2013-05-30 6630
6637 Miežiškių seniūnija Quick edit Valid 2013-05-30 6637
6642 Naujamiesčio seniūnija Quick edit Valid 2013-05-30 6642
6647 Panevėžio seniūnija Quick edit Valid 2013-05-30 6647
6661 Raguvos seniūnija Quick edit Valid 2013-05-30 6661
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?