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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 481 to 500.First2122232425262728Last
Id Label Status Status Modified Notation
8601 Švenčionių miesto seniūnija Quick edit Valid 2013-05-30 8601
8602 Švenčionėlių miesto seniūnija Quick edit Valid 2013-05-30 8602
8603 Pabradės miesto seniūnija Quick edit Valid 2013-05-30 8603
8604 Adutiškio seniūnija Quick edit Valid 2013-05-30 8604
8613 Kaltanėnų seniūnija Quick edit Valid 2013-05-30 8613
8615 Labanoro seniūnija Quick edit Valid 2013-05-30 8615
8629 Magūnų seniūnija Quick edit Valid 2013-05-30 8629
8644 Pabradės seniūnija Quick edit Valid 2013-05-30 8644
8657 Sarių seniūnija Quick edit Valid 2013-05-30 8657
8659 Svirkų seniūnija Quick edit Valid 2013-05-30 8659
8662 Strūnaičio seniūnija Quick edit Valid 2013-05-30 8662
8669 Cirkliškio seniūnija Quick edit Valid 2013-05-30 8669
8671 Švenčionėlių seniūnija Quick edit Valid 2013-05-30 8671
8682 Švenčionių seniūnija Quick edit Valid 2013-05-30 8682
8701 Šilalės miesto seniūnija Quick edit Valid 2013-05-30 8701
8703 Bijotų seniūnija Quick edit Valid 2013-05-30 8703
8705 Bilionių seniūnija Quick edit Valid 2013-05-30 8705
8707 Didkiemio seniūnija Quick edit Valid 2013-05-30 8707
8711 Kaltinėnų seniūnija Quick edit Valid 2013-05-30 8711
8715 Kvėdarnos seniūnija Quick edit Valid 2013-05-30 8715
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?