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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 461 to 480.First2021222324252627Last
Id Label Status Status Modified Notation
8449 Lekėčių seniūnija Quick edit Valid 2013-05-30 8449
8455 Plokščių seniūnija Quick edit Valid 2013-05-30 8455
8471 Sintautų seniūnija Quick edit Valid 2013-05-30 8471
8475 Slavikų seniūnija Quick edit Valid 2013-05-30 8475
8479 Sudargo seniūnija Quick edit Valid 2013-05-30 8479
8483 Šakių seniūnija Quick edit Valid 2013-05-30 8483
8497 Žvirgždaičių seniūnija Quick edit Valid 2013-05-30 8497
8503 Baltosios Vokės seniūnija Quick edit Valid 2013-05-30 8503
8505 Akmenynės seniūnija Quick edit Valid 2013-05-30 8505
8509 Butrimonių seniūnija Quick edit Valid 2013-05-30 8509
8514 Gerviškių seniūnija Quick edit Valid 2013-05-30 8514
8519 Dainavos seniūnija Quick edit Valid 2013-05-30 8519
8527 Dieveniškių seniūnija Quick edit Valid 2013-05-30 8527
8534 Kalesninkų seniūnija Quick edit Valid 2013-05-30 8534
8550 Pabarės seniūnija Quick edit Valid 2013-05-30 8550
8554 Poškonių seniūnija Quick edit Valid 2013-05-30 8554
8563 Turgelių seniūnija Quick edit Valid 2013-05-30 8563
8575 Šalčininkų seniūnija Quick edit Valid 2013-05-30 8575
8580 Eišiškių seniūnija Quick edit Valid 2013-05-30 8580
8593 Jašiūnų seniūnija Quick edit Valid 2013-05-30 8593
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?