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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 3,021 to 3,040.First148149150151152153154155Last
Id Label Status Status Modified Notation
562521 Huntířov Quick edit Valid 2013-05-30 562521
562530 Chřibská Quick edit Valid 2013-05-30 562530
562548 Bednárec Quick edit Valid 2013-05-30 562548
562556 Jetřichovice Quick edit Valid 2013-05-30 562556
562564 Jílové Quick edit Valid 2013-05-30 562564
562572 Jiřetín pod Jedlovou Quick edit Valid 2013-05-30 562572
562581 Jiříkov Quick edit Valid 2013-05-30 562581
562599 Velký Ratmírov Quick edit Valid 2013-05-30 562599
562602 Dolní Žďár Quick edit Valid 2013-05-30 562602
562611 Krásná Lípa Quick edit Valid 2013-05-30 562611
562629 Vydří Quick edit Valid 2013-05-30 562629
562637 Frahelž Quick edit Valid 2013-05-30 562637
562645 Kytlice Quick edit Valid 2013-05-30 562645
562653 Ponědrážka Quick edit Valid 2013-05-30 562653
562661 Lipová Quick edit Valid 2013-05-30 562661
562670 Ponědraž Quick edit Valid 2013-05-30 562670
562688 Klec Quick edit Valid 2013-05-30 562688
562696 Hadravova Rosička Quick edit Valid 2013-05-30 562696
562700 Malá Veleň Quick edit Valid 2013-05-30 562700
562718 Malšovice Quick edit Valid 2013-05-30 562718
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?