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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 3,121 to 3,140.First153154155156157158159160Last
Id Label Status Status Modified Notation
563544 Libějice Quick edit Valid 2013-05-30 563544
563552 Desná Quick edit Valid 2013-05-30 563552
563561 Držkov Quick edit Valid 2013-05-30 563561
563579 Frýdštejn Quick edit Valid 2013-05-30 563579
563587 Lom Quick edit Valid 2013-05-30 563587
563595 Janov nad Nisou Quick edit Valid 2013-05-30 563595
563609 Jenišovice Quick edit Valid 2013-05-30 563609
563617 Jílové u Držkova Quick edit Valid 2013-05-30 563617
563625 Haškovcova Lhota Quick edit Valid 2013-05-30 563625
563633 Josefův Důl Quick edit Valid 2013-05-30 563633
563641 Koberovy Quick edit Valid 2013-05-30 563641
563650 Dlouhá Lhota Quick edit Valid 2013-05-30 563650
563668 Kořenov Quick edit Valid 2013-05-30 563668
563676 Líšný Quick edit Valid 2013-05-30 563676
563684 Loužnice Quick edit Valid 2013-05-30 563684
563692 Lučany nad Nisou Quick edit Valid 2013-05-30 563692
563706 Malá Skála Quick edit Valid 2013-05-30 563706
563714 Maršovice Quick edit Valid 2013-05-30 563714
563722 Černýšovice Quick edit Valid 2013-05-30 563722
563731 Nová Ves nad Nisou Quick edit Valid 2013-05-30 563731
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?