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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 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
7301 Rokiškio miesto seniūnija Quick edit Valid 2013-05-30 7301
7312 Kazliškio seniūnija Quick edit Valid 2013-05-30 7312
7315 Kamajų seniūnija Quick edit Valid 2013-05-30 7315
7319 Kriaunų seniūnija Quick edit Valid 2013-05-30 7319
7326 Obelių seniūnija Quick edit Valid 2013-05-30 7326
7329 Pandėlio seniūnija Quick edit Valid 2013-05-30 7329
7331 Panemunėlio seniūnija Quick edit Valid 2013-05-30 7331
7345 Rokiškio kaimiškoji seniūnija Quick edit Valid 2013-05-30 7345
7375 Jūžintų seniūnija Quick edit Valid 2013-05-30 7375
7386 Juodupės seniūnija Quick edit Valid 2013-05-30 7386
7401 Rietavo miesto seniūnija Quick edit Valid 2013-05-30 7401
7440 Medingėnų seniūnija Quick edit Valid 2013-05-30 7440
7475 Rietavo seniūnija Quick edit Valid 2013-05-30 7475
7483 Daugėdų seniūnija Quick edit Valid 2013-05-30 7483
7489 Tverų seniūnija Quick edit Valid 2013-05-30 7489
7501 Skuodo miesto seniūnija Quick edit Valid 2013-05-30 7501
7508 Aleksandrijos seniūnija Quick edit Valid 2013-05-30 7508
7512 Barstyčių seniūnija Quick edit Valid 2013-05-30 7512
7524 Ylakių seniūnija Quick edit Valid 2013-05-30 7524
7535 Lenkimų seniūnija Quick edit Valid 2013-05-30 7535
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?