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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 201 to 220.First7891011121314Last
Id Label Status Status Modified Notation
5233 Karmėlavos seniūnija Quick edit Valid 2013-05-30 5233
5236 Kačerginės seniūnija Quick edit Valid 2013-05-30 5236
5241 Kulautuvos seniūnija Quick edit Valid 2013-05-30 5241
5243 Linksmakalnio seniūnija Quick edit Valid 2010-01-01 5243
5245 Ringaudų seniūnija Quick edit Valid 2013-05-30 5245
5247 Neveronių seniūnija Quick edit Valid 2013-05-30 5247
5257 Lapių seniūnija Quick edit Valid 2013-05-30 5257
5259 Raudondvario seniūnija Quick edit Valid 2013-05-30 5259
5262 Rokų seniūnija Quick edit Valid 2013-05-30 5262
5267 Samylų seniūnija Quick edit Valid 2013-05-30 5267
5272 Taurakiemio seniūnija Quick edit Valid 2013-05-30 5272
5277 Užliedžių seniūnija Quick edit Valid 2013-05-30 5277
5282 Čekiškės seniūnija Quick edit Valid 2013-05-30 5282
5290 Akademijos seniūnija Quick edit Valid 2013-05-30 5290
5301 Kėdainių miesto seniūnija Quick edit Valid 2013-05-30 5301
5302 Vilainių seniūnija Quick edit Valid 2013-05-30 5302
5305 Gudžiūnų seniūnija Quick edit Valid 2013-05-30 5305
5313 Dotnuvos seniūnija Quick edit Valid 2013-05-30 5313
5317 Josvainių seniūnija Quick edit Valid 2013-05-30 5317
5325 Krakių seniūnija Quick edit Valid 2013-05-30 5325
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?