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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 2,481 to 2,500.First121122123124125126127128Last
Id Label Status Status Modified Notation
529010 Prituľany Quick edit Valid 2013-05-30 529010
529028 Prosačov Quick edit Valid 2013-05-30 529028
529036 Radvanovce Quick edit Valid 2013-05-30 529036
529044 Rafajovce Quick edit Valid 2013-05-30 529044
529052 Remeniny Quick edit Valid 2013-05-30 529052
529061 Rohožník Quick edit Valid 2013-05-30 529061
529079 Rudlov Quick edit Valid 2013-05-30 529079
529087 Ruská Kajňa Quick edit Valid 2013-05-30 529087
529095 Ruská Poruba Quick edit Valid 2013-05-30 529095
529109 Ruská Voľa Quick edit Valid 2013-05-30 529109
529117 Vyšný Kazimír Quick edit Valid 2013-05-30 529117
529125 Sačurov Quick edit Valid 2013-05-30 529125
529133 Sečovská Polianka Quick edit Valid 2013-05-30 529133
529141 Sedliská Quick edit Valid 2013-05-30 529141
529150 Skrabské Quick edit Valid 2013-05-30 529150
529168 Slovenská Kajňa Quick edit Valid 2013-05-30 529168
529176 Soľ Quick edit Valid 2013-05-30 529176
529184 Štefanovce Quick edit Valid 2013-05-30 529184
529192 Tovarné Quick edit Valid 2013-05-30 529192
529206 Tovarnianska Polianka Quick edit Valid 2013-05-30 529206
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?