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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 2,421 to 2,440.First118119120121122123124125Last
Id Label Status Status Modified Notation
553671 Horšovský Týn Quick edit Valid 2013-05-30 553671
553689 Hostouň Quick edit Valid 2013-05-30 553689
553697 Trmice Quick edit Valid 2013-05-30 553697
553701 Bačalky Quick edit Valid 2013-05-30 553701
553719 Srnojedy Quick edit Valid 2013-05-30 553719
553727 Chocomyšl Quick edit Valid 2013-05-30 553727
553735 Chodov Quick edit Valid 2013-05-30 553735
553743 Chodská Lhota Quick edit Valid 2013-05-30 553743
553751 Chrastavice Quick edit Valid 2013-05-30 553751
553760 Běstovice Quick edit Valid 2013-05-30 553760
553778 Kaničky Quick edit Valid 2013-05-30 553778
553786 Kdyně Quick edit Valid 2013-05-30 553786
553794 Klenčí pod Čerchovem Quick edit Valid 2013-05-30 553794
553816 Koloveč Quick edit Valid 2013-05-30 553816
553824 Kout na Šumavě Quick edit Valid 2013-05-30 553824
553832 Křenovy Quick edit Valid 2013-05-30 553832
553841 Kvíčovice Quick edit Valid 2013-05-30 553841
553859 Libkov Quick edit Valid 2013-05-30 553859
553867 Loučim Quick edit Valid 2013-05-30 553867
553875 Louka Quick edit Valid 2013-05-30 553875
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?