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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

6,250 concepts found, displaying 3,181 to 3,200.First156157158159160161162163Last
Id Label Status Status Modified Notation
564168 Krásný Les Quick edit Valid 2013-05-30 564168
564176 Kryštofovo Údolí Quick edit Valid 2013-05-30 564176
564184 Křižany Quick edit Valid 2013-05-30 564184
564192 Páleč Quick edit Valid 2013-05-30 564192
564206 Lázně Libverda Quick edit Valid 2013-05-30 564206
564214 Počaply Quick edit Valid 2013-05-30 564214
564222 Nestrašovice Quick edit Valid 2013-05-30 564222
564231 Mníšek Quick edit Valid 2013-05-30 564231
564249 Chrást Quick edit Valid 2013-05-30 564249
564257 Horčápsko Quick edit Valid 2013-05-30 564257
564265 Nové Město pod Smrkem Quick edit Valid 2013-05-30 564265
564273 Svojšice Quick edit Valid 2013-05-30 564273
564281 Oldřichov v Hájích Quick edit Valid 2013-05-30 564281
564290 Osečná Quick edit Valid 2013-05-30 564290
564303 Pěnčín Quick edit Valid 2013-05-30 564303
564311 Pertoltice Quick edit Valid 2013-05-30 564311
564320 Zbenice Quick edit Valid 2013-05-30 564320
564338 Županovice Quick edit Valid 2013-05-30 564338
564346 Lazsko Quick edit Valid 2013-05-30 564346
564354 Příšovice Quick edit Valid 2013-05-30 564354
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?