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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 441 to 460.First1920212223242526Last
Id Label Status Status Modified Notation
8177 Taujėnų seniūnija Quick edit Valid 2013-05-30 8177
8185 Pivonijos seniūnija Quick edit Valid 2013-05-30 8185
8190 Šešuolių seniūnija Quick edit Valid 2013-05-30 8190
8201 Utenos miesto seniūnija Quick edit Valid 2013-05-30 8201
8206 Vyžuonų seniūnija Quick edit Valid 2013-05-30 8206
8212 Daugailių seniūnija Quick edit Valid 2013-05-30 8212
8223 Kuktiškių seniūnija Quick edit Valid 2013-05-30 8223
8226 Leliūnų seniūnija Quick edit Valid 2013-05-30 8226
8248 Saldutiškio seniūnija Quick edit Valid 2013-05-30 8248
8260 Sudeikių seniūnija Quick edit Valid 2013-05-30 8260
8271 Tauragnų seniūnija Quick edit Valid 2013-05-30 8271
8274 Utenos seniūnija Quick edit Valid 2013-05-30 8274
8276 Užpalių seniūnija Quick edit Valid 2013-05-30 8276
8405 Barzdų seniūnija Quick edit Valid 2013-05-30 8405
8409 Kudirkos Naumiesčio seniūnija Quick edit Valid 2013-05-30 8409
8413 Gelgaudiškio seniūnija Quick edit Valid 2013-05-30 8413
8417 Griškabūdžio seniūnija Quick edit Valid 2013-05-30 8417
8430 Kidulių seniūnija Quick edit Valid 2013-05-30 8430
8435 Kriūkų seniūnija Quick edit Valid 2013-05-30 8435
8443 Lukšių seniūnija Quick edit Valid 2013-05-30 8443
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?