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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

2,928 concepts found, displaying 2,801 to 2,820.First137138139140141142143144Last
Id Label Status Status Modified Notation
557889 Gemerské Michalovce Quick edit Valid 2013-05-30 557889
557901 Vyšné Valice Quick edit Valid 2013-05-30 557901
557919 Dulovo Quick edit Valid 2013-05-30 557919
557927 Zacharovce Quick edit Valid 2013-05-30 557927
557935 Lietavská Lúčka Quick edit Valid 2013-05-30 557935
557960 Porúbka Quick edit Valid 2013-05-30 557960
557986 Ďurčiná Quick edit Valid 2013-05-30 557986
557994 Kľače Quick edit Valid 2013-05-30 557994
558087 Lukavica Quick edit Valid 2013-05-30 558087
558133 Lieskovec Quick edit Valid 2013-05-30 558133
558168 Nezbudská Lúčka Quick edit Valid 2013-05-30 558168
558192 Malý Krtíš Quick edit Valid 2013-05-30 558192
558206 Malé Straciny Quick edit Valid 2013-05-30 558206
558214 Veľké Straciny Quick edit Valid 2013-05-30 558214
558222 Počarová Quick edit Valid 2013-05-30 558222
558273 Bulhary Quick edit Valid 2013-05-30 558273
558281 Liptovská Porúbka Quick edit Valid 2013-05-30 558281
558320 Ivanka pri Nitre Quick edit Valid 2013-05-30 558320
558338 Ducové Quick edit Valid 2013-05-30 558338
558354 Bašovce Quick edit Valid 2013-05-30 558354
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?