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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 1,581 to 1,600.First7677787980818283Last
Id Label Status Status Modified Notation
544248 Pavlíkov Quick edit Valid 2013-05-30 544248
544256 České Budějovice Quick edit Valid 2013-05-30 544256
544264 Leskovec Quick edit Valid 2013-05-30 544264
544272 Borek Quick edit Valid 2013-05-30 544272
544281 Borovany Quick edit Valid 2013-05-30 544281
544299 Boršov nad Vltavou Quick edit Valid 2013-05-30 544299
544302 Lešná Quick edit Valid 2013-05-30 544302
544329 Čejkovice Quick edit Valid 2013-05-30 544329
544337 Hamr na Jezeře Quick edit Valid 2013-05-30 544337
544345 Proseč pod Ještědem Quick edit Valid 2013-05-30 544345
544353 Heřmanice Quick edit Valid 2013-05-30 544353
544361 Dívčice Quick edit Valid 2013-05-30 544361
544370 Lidečko Quick edit Valid 2013-05-30 544370
544388 Dolní Bukovsko Quick edit Valid 2013-05-30 544388
544396 Liptál Quick edit Valid 2013-05-30 544396
544400 Doudleby Quick edit Valid 2013-05-30 544400
544418 Loučka Quick edit Valid 2013-05-30 544418
544426 Dříteň Quick edit Valid 2013-05-30 544426
544434 Lužná Quick edit Valid 2013-05-30 544434
544442 Dubné Quick edit Valid 2013-05-30 544442
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?