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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 3,961 to 3,980.First195196197198199200201202Last
Id Label Status Status Modified Notation
572659 Jičín Quick edit Valid 2013-05-30 572659
572667 Bašnice Quick edit Valid 2013-05-30 572667
572675 Běchary Quick edit Valid 2013-05-30 572675
572683 Dětřichov u Moravské Třebové Quick edit Valid 2013-05-30 572683
572691 Hradec nad Svitavou Quick edit Valid 2013-05-30 572691
572705 Boháňka Quick edit Valid 2013-05-30 572705
572713 Javorník Quick edit Valid 2013-05-30 572713
572721 Opatovec Quick edit Valid 2013-05-30 572721
572730 Chmelík Quick edit Valid 2013-05-30 572730
572748 Karle Quick edit Valid 2013-05-30 572748
572756 Tetín Quick edit Valid 2013-05-30 572756
572764 Chrtníky Quick edit Valid 2013-05-30 572764
572772 Bystřice Quick edit Valid 2013-05-30 572772
572781 Cerekvice nad Bystřicí Quick edit Valid 2013-05-30 572781
572799 Časy Quick edit Valid 2013-05-30 572799
572802 Malé Výkleky Quick edit Valid 2013-05-30 572802
572811 Češov Quick edit Valid 2013-05-30 572811
572829 Dětenice Quick edit Valid 2013-05-30 572829
572837 Dobrá Voda u Hořic Quick edit Valid 2013-05-30 572837
572845 Lány u Dašic Quick edit Valid 2013-05-30 572845
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?