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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 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
5795 Šimonių seniūnija Quick edit Valid 2013-05-30 5795
5832 Kazlų Rūdos seniūnija Quick edit Valid 2013-05-30 5832
5833 Plutiškių seniūnija Quick edit Valid 2013-05-30 5833
5867 Antanavo seniūnija Quick edit Valid 2013-05-30 5867
5894 Jankų seniūnija Quick edit Valid 2013-05-30 5894
5901 Lazdijų miesto seniūnija Quick edit Valid 2013-05-30 5901
5904 Veisiejų miesto seniūnija Quick edit Valid 2013-05-30 5904
5908 Būdviečio seniūnija Quick edit Valid 2013-05-30 5908
5913 Veisiejų seniūnija Quick edit Valid 2013-05-30 5913
5925 Kapčiamiesčio seniūnija Quick edit Valid 2013-05-30 5925
5930 Krosnos seniūnija Quick edit Valid 2013-05-30 5930
5937 Kučiūnų seniūnija Quick edit Valid 2013-05-30 5937
5940 Lazdijų seniūnija Quick edit Valid 2013-05-30 5940
5950 Noragėlių seniūnija Quick edit Valid 2013-05-30 5950
5969 Seirijų seniūnija Quick edit Valid 2013-05-30 5969
5974 Teizų seniūnija Quick edit Valid 2013-05-30 5974
5979 Šventežerio seniūnija Quick edit Valid 2013-05-30 5979
5984 Šlavantų seniūnija Quick edit Valid 2013-05-30 5984
5990 Šeštokų seniūnija Quick edit Valid 2013-05-30 5990
6107 Židikų seniūnija Quick edit Valid 2013-05-30 6107
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?