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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 521 to 540.First2122232425262728Last
Id Label Status Status Modified Notation
8910 Kernavės seniūnija Quick edit Valid 2013-05-30 8910
8923 Gelvonų seniūnija Quick edit Valid 2013-05-30 8923
8934 Zibalų seniūnija Quick edit Valid 2013-05-30 8934
8967 Musninkų seniūnija Quick edit Valid 2013-05-30 8967
8978 Čiobiškio seniūnija Quick edit Valid 2013-05-30 8978
8982 Širvintų seniūnija Quick edit Valid 2013-05-30 8982
8989 Jauniūnų seniūnija Quick edit Valid 2013-05-30 8989
9101 Kuršėnų miesto seniūnija Quick edit Valid 2013-05-30 9101
9107 Bubių seniūnija Quick edit Valid 2013-05-30 9107
9108 Ginkūnų seniūnija Quick edit Valid 2013-05-30 9108
9109 Gruzdžių seniūnija Quick edit Valid 2013-05-30 9109
9113 Kairių seniūnija Quick edit Valid 2013-05-30 9113
9120 Kužių seniūnija Quick edit Valid 2013-05-30 9120
9132 Kuršėnų kaimiškoji seniūnija Quick edit Valid 2013-05-30 9132
9148 Meškuičių seniūnija Quick edit Valid 2013-05-30 9148
9164 Raudėnų seniūnija Quick edit Valid 2013-05-30 9164
9182 Šakynos seniūnija Quick edit Valid 2013-05-30 9182
9193 Šiaulių kaimiškoji seniūnija Quick edit Valid 2013-05-30 9193
9418 Veliuonos seniūnija Quick edit Valid 2013-05-30 9418
9422 Viešvilės seniūnija Quick edit Valid 2013-05-30 9422
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?