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 1,921 to 1,940.First93949596979899100Last
Id Label Status Status Modified Notation
523151 Šamudovce Quick edit Valid 2013-05-30 523151
523160 Tašuľa Quick edit Valid 2013-05-30 523160
523178 Tibava Quick edit Valid 2013-05-30 523178
523186 Trhovište Quick edit Valid 2013-05-30 523186
523194 Trnava pri Laborci Quick edit Valid 2013-05-30 523194
523208 Tušice Quick edit Valid 2013-05-30 523208
523216 Tušická Nová Ves Quick edit Valid 2013-05-30 523216
523224 Úbrež Quick edit Valid 2013-05-30 523224
523232 Veľké Revištia Quick edit Valid 2013-05-30 523232
523241 Zalužice Quick edit Valid 2013-05-30 523241
523259 Vinné Quick edit Valid 2013-05-30 523259
523267 Vojnatina Quick edit Valid 2013-05-30 523267
523275 Voľa Quick edit Valid 2013-05-30 523275
523283 Vrbnica Quick edit Valid 2013-05-30 523283
523291 Vysoká nad Uhom Quick edit Valid 2013-05-30 523291
523305 Vyšná Rybnica Quick edit Valid 2013-05-30 523305
523313 Vyšné Nemecké Quick edit Valid 2013-05-30 523313
523321 Vyšné Remety Quick edit Valid 2013-05-30 523321
523330 Záhor Quick edit Valid 2013-05-30 523330
523348 Závadka Quick edit Valid 2013-05-30 523348
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?