You are here:
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

2,928 concepts found, displaying 1,041 to 1,060.First4950515253545556Last
Id Label Status Status Modified Notation
512702 Turčianska Štiavnička Quick edit Valid 2013-05-30 512702
512711 Turčianske Kľačany Quick edit Valid 2013-05-30 512711
512729 Turčianske Teplice Quick edit Valid 2013-05-30 512729
512737 Turčiansky Ďur Quick edit Valid 2013-05-30 512737
512753 Turčiansky Peter Quick edit Valid 2013-05-30 512753
512761 Valča Quick edit Valid 2013-05-30 512761
512788 Veľký Čepčín Quick edit Valid 2013-05-30 512788
512796 Vrícko Quick edit Valid 2013-05-30 512796
512818 Záborie Quick edit Valid 2013-05-30 512818
512834 Žabokreky Quick edit Valid 2013-05-30 512834
512842 Považská Bystrica Quick edit Valid 2013-05-30 512842
512851 Beluša Quick edit Valid 2013-05-30 512851
512885 Bolešov Quick edit Valid 2013-05-30 512885
512915 Brvnište Quick edit Valid 2013-05-30 512915
512931 Červený Kameň Quick edit Valid 2013-05-30 512931
512940 Dohňany Quick edit Valid 2013-05-30 512940
512958 Dolná Breznica Quick edit Valid 2013-05-30 512958
512966 Dolná Mariková Quick edit Valid 2013-05-30 512966
513008 Domaniža Quick edit Valid 2013-05-30 513008
513016 Dubnica nad Váhom Quick edit Valid 2013-05-30 513016
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?