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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 2,461 to 2,480.First120121122123124125126127Last
Id Label Status Status Modified Notation
LT00 Lietuva (NUTS 2013) Quick edit Valid 2013-09-25 LT00
LT001 Alytaus apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT001
LT002 Kauno apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT002
LT003 Klaipedos apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT003
LT004 Marijampoles apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT004
LT005 Panevezio apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT005
LT006 Siauliu apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT006
LT007 Taurages apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT007
LT008 Telsiu apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT008
LT009 Utenos apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT009
LT00A Vilniaus apskritis (NUTS 2013) Quick edit Valid 2013-09-25 LT00A
LT01 Sostines regionas Quick edit Valid 2018-02-07 LT01
LT011 Vilniaus apskritis Quick edit Valid 2018-02-07 LT011
LT02 Vidurio ir vakaru Lietuvos regionas Quick edit Valid 2018-02-07 LT02
LT021 Alytaus apskritis Quick edit Valid 2018-02-07 LT021
LT022 Kauno apskritis Quick edit Valid 2018-02-07 LT022
LT023 Klaipedos apskritis Quick edit Valid 2018-02-07 LT023
LT024 Marijampoles apskritis Quick edit Valid 2018-02-07 LT024
LT025 Panevezio apskritis Quick edit Valid 2018-02-07 LT025
LT026 Siauliu apskritis Quick edit Valid 2018-02-07 LT026
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?