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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 5,461 to 5,480.First270271272273274275276277Last
Id Label Status Status Modified Notation
590525 Dědice Quick edit Valid 2013-05-30 590525
590533 Dešov Quick edit Valid 2013-05-30 590533
590550 Dolní Vilémovice Quick edit Valid 2013-05-30 590550
590568 Domamil Quick edit Valid 2013-05-30 590568
590576 Dukovany Quick edit Valid 2013-05-30 590576
590584 Hartvíkovice Quick edit Valid 2013-05-30 590584
590592 Heraltice Quick edit Valid 2013-05-30 590592
590614 Hluboké Quick edit Valid 2013-05-30 590614
590622 Hodov Quick edit Valid 2013-05-30 590622
590631 Horní Heřmanice Quick edit Valid 2013-05-30 590631
590649 Horní Újezd Quick edit Valid 2013-05-30 590649
590657 Horní Vilémovice Quick edit Valid 2013-05-30 590657
590665 Hornice Quick edit Valid 2013-05-30 590665
590673 Hrotovice Quick edit Valid 2013-05-30 590673
590681 Hrutov Quick edit Valid 2013-05-30 590681
590690 Hvězdoňovice Quick edit Valid 2013-05-30 590690
590703 Chlístov Quick edit Valid 2013-05-30 590703
590711 Chlum Quick edit Valid 2013-05-30 590711
590746 Jakubov u Moravských Budějovic Quick edit Valid 2013-05-30 590746
590754 Jaroměřice nad Rokytnou Quick edit Valid 2013-05-30 590754
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?