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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 3,381 to 3,400.First166167168169170171172173Last
Id Label Status Status Modified Notation
566187 Holedeč Quick edit Valid 2013-05-30 566187
566195 Hříškov Quick edit Valid 2013-05-30 566195
566209 Otov Quick edit Valid 2013-05-30 566209
566217 Hřivice Quick edit Valid 2013-05-30 566217
566233 Chlumčany Quick edit Valid 2013-05-30 566233
566241 Chožov Quick edit Valid 2013-05-30 566241
566250 Vlkanov Quick edit Valid 2013-05-30 566250
566276 Hora Svatého Václava Quick edit Valid 2013-05-30 566276
566284 Koštice Quick edit Valid 2013-05-30 566284
566292 Mnichov Quick edit Valid 2013-05-30 566292
566306 Krásný Dvůr Quick edit Valid 2013-05-30 566306
566314 Kryry Quick edit Valid 2013-05-30 566314
566322 Lenešice Quick edit Valid 2013-05-30 566322
566331 Hvožďany Quick edit Valid 2013-05-30 566331
566349 Libčeves Quick edit Valid 2013-05-30 566349
566357 Liběšice Quick edit Valid 2013-05-30 566357
566365 Poděvousy Quick edit Valid 2013-05-30 566365
566373 Pelechy Quick edit Valid 2013-05-30 566373
566381 Libořice Quick edit Valid 2013-05-30 566381
566390 Hlince Quick edit Valid 2013-05-30 566390
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?