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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
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  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

11,204 concepts found, displaying 461 to 480.First2021222324252627Last
Id Label Status Status Modified Notation
01056041 Quickborn, Stadt Quick edit Valid 2009-01-01 01056041
01056042 Raa-Besenbek Quick edit Valid 2009-01-01 01056042
01056043 Rellingen Quick edit Valid 2009-01-01 01056043
01056044 Schenefeld, Stadt Quick edit Valid 2009-01-01 01056044
01056045 Seestermühe Quick edit Valid 2009-01-01 01056045
01056046 Seeth-Ekholt Quick edit Valid 2009-01-01 01056046
01056047 Tangstedt Quick edit Valid 2009-01-01 01056047
01056048 Tornesch, Stadt Quick edit Valid 2009-01-01 01056048
01056049 Uetersen, Stadt Quick edit Valid 2009-01-01 01056049
01056050 Wedel, Stadt Quick edit Valid 2009-01-01 01056050
01056051 Westerhorn Quick edit Valid 2009-01-01 01056051
01057001 Ascheberg (Holstein) Quick edit Valid 2013-05-29 01057001
01057002 Barmissen Quick edit Valid 2009-01-01 01057002
01057003 Barsbek Quick edit Valid 2009-01-01 01057003
01057004 Behrensdorf (Ostsee) Quick edit Valid 2009-01-01 01057004
01057005 Belau Quick edit Valid 2009-01-01 01057005
01057006 Bendfeld Quick edit Valid 2009-01-01 01057006
01057007 Blekendorf Quick edit Valid 2009-01-01 01057007
01057008 Bönebüttel Quick edit Valid 2013-05-29 01057008
01057009 Bösdorf Quick edit Valid 2013-05-29 01057009
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?