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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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
514136 Lehota pod Vtáčnikom Quick edit Valid 2013-05-30 514136
514144 Liešťany Quick edit Valid 2013-05-30 514144
514179 Malá Čausa Quick edit Valid 2013-05-30 514179
514187 Malinová Quick edit Valid 2013-05-30 514187
514209 Nedožery-Brezany Quick edit Valid 2013-05-30 514209
514217 Nevidzany Quick edit Valid 2013-05-30 514217
514225 Nitrianske Pravno Quick edit Valid 2013-05-30 514225
514233 Nitrianske Rudno Quick edit Valid 2013-05-30 514233
514241 Nitrianske Sučany Quick edit Valid 2013-05-30 514241
514250 Nitrica Quick edit Valid 2013-05-30 514250
514268 Nováky Quick edit Valid 2013-05-30 514268
514284 Opatovce nad Nitrou Quick edit Valid 2013-05-30 514284
514292 Oslany Quick edit Valid 2013-05-30 514292
514306 Podhradie Quick edit Valid 2013-05-30 514306
514314 Poluvsie Quick edit Valid 2013-05-30 514314
514322 Poruba Quick edit Valid 2013-05-30 514322
514331 Pravenec Quick edit Valid 2013-05-30 514331
514349 Radobica Quick edit Valid 2013-05-30 514349
514357 Ráztočno Quick edit Valid 2013-05-30 514357
514365 Rudnianska Lehota Quick edit Valid 2013-05-30 514365
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?