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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 1,981 to 2,000.First96979899100101102103Last
Id Label Status Status Modified Notation
548880 Sukorady Quick edit Valid 2013-05-30 548880
548898 Rokytňany Quick edit Valid 2013-05-30 548898
548901 Bílsko u Hořic Quick edit Valid 2013-05-30 548901
548910 Ohaveč Quick edit Valid 2013-05-30 548910
548928 Kostelec Quick edit Valid 2013-05-30 548928
548936 Těmice Quick edit Valid 2013-05-30 548936
548944 Kovač Quick edit Valid 2013-05-30 548944
548952 Budčeves Quick edit Valid 2013-05-30 548952
548961 Sedliště Quick edit Valid 2013-05-30 548961
548979 Borek Quick edit Valid 2013-05-30 548979
548987 Útěchovice Quick edit Valid 2013-05-30 548987
548995 Červená Třemešná Quick edit Valid 2013-05-30 548995
549002 Včelnička Quick edit Valid 2013-05-30 549002
549011 Velká Chyška Quick edit Valid 2013-05-30 549011
549029 Vřesník Quick edit Valid 2013-05-30 549029
549037 Choteč Quick edit Valid 2013-05-30 549037
549045 Velký Rybník Quick edit Valid 2013-05-30 549045
549053 Veselá Quick edit Valid 2013-05-30 549053
549061 Věžná Quick edit Valid 2013-05-30 549061
549070 Březina Quick edit Valid 2013-05-30 549070
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?