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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 361 to 380.First1516171819202122Last
Id Label Status Status Modified Notation
7149 Sidabravo seniūnija Quick edit Valid 2013-05-30 7149
7154 Skėmių seniūnija Quick edit Valid 2013-05-30 7154
7160 Radviliškio miesto seniūnija Quick edit Valid 2013-05-30 7160
7161 Šeduvos miesto seniūnija Quick edit Valid 2013-05-30 7161
7172 Šaukoto seniūnija Quick edit Valid 2013-05-30 7172
7179 Šeduvos seniūnija Quick edit Valid 2013-05-30 7179
7184 Šiaulėnų seniūnija Quick edit Valid 2013-05-30 7184
7187 Tyrulių seniūnija Quick edit Valid 2013-05-30 7187
7201 Raseinių miesto seniūnija Quick edit Valid 2013-05-30 7201
7205 Ariogalos miesto seniūnija Quick edit Valid 2013-05-30 7205
7209 Ariogalos seniūnija Quick edit Valid 2013-05-30 7209
7213 Betygalos seniūnija Quick edit Valid 2013-05-30 7213
7219 Viduklės seniūnija Quick edit Valid 2013-05-30 7219
7226 Girkalnio seniūnija Quick edit Valid 2013-05-30 7226
7245 Kalnujų seniūnija Quick edit Valid 2013-05-30 7245
7251 Nemakščių seniūnija Quick edit Valid 2013-05-30 7251
7262 Pagojukų seniūnija Quick edit Valid 2013-05-30 7262
7273 Paliepių seniūnija Quick edit Valid 2013-05-30 7273
7284 Raseinių seniūnija Quick edit Valid 2013-05-30 7284
7295 Šiluvos seniūnija Quick edit Valid 2013-05-30 7295
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?