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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 2,101 to 2,120.First102103104105106107108109Last
Id Label Status Status Modified Notation
525111 Rokycany Quick edit Valid 2013-05-30 525111
525120 Rožkovany Quick edit Valid 2013-05-30 525120
525138 Ruská Nová Ves Quick edit Valid 2013-05-30 525138
525146 Sabinov Quick edit Valid 2013-05-30 525146
525154 Sedlice Quick edit Valid 2013-05-30 525154
525162 Seniakovce Quick edit Valid 2013-05-30 525162
525171 Svinia Quick edit Valid 2013-05-30 525171
525189 Šarišská Poruba Quick edit Valid 2013-05-30 525189
525197 Šarišská Trstená Quick edit Valid 2013-05-30 525197
525201 Šarišské Bohdanovce Quick edit Valid 2013-05-30 525201
525219 Šarišské Dravce Quick edit Valid 2013-05-30 525219
525235 Šarišské Michaľany Quick edit Valid 2013-05-30 525235
525243 Šarišské Sokolovce Quick edit Valid 2013-05-30 525243
525251 Šindliar Quick edit Valid 2013-05-30 525251
525260 Široké Quick edit Valid 2013-05-30 525260
525278 Štefanovce Quick edit Valid 2013-05-30 525278
525286 Teriakovce Quick edit Valid 2013-05-30 525286
525294 Terňa Quick edit Valid 2013-05-30 525294
525308 Tichý Potok Quick edit Valid 2013-05-30 525308
525316 Torysa Quick edit Valid 2013-05-30 525316
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?