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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

11,204 concepts found, displaying 10,921 to 10,940.First543544545546547548549550Last
Id Label Status Status Modified Notation
16073076 Rudolstadt, Stadt Quick edit Valid 2009-01-01 16073076
16073077 Saalfeld/Saale, Stadt Quick edit Valid 2009-01-01 16073077
16073079 Schmiedefeld Quick edit Valid 2009-01-01 16073079
16073082 Schwarzburg Quick edit Valid 2009-01-01 16073082
16073084 Sitzendorf Quick edit Valid 2009-01-01 16073084
16073094 Unterweißbach Quick edit Valid 2009-01-01 16073094
16073101 Wittgendorf Quick edit Valid 2009-01-01 16073101
16073105 Remda-Teichel, Stadt Quick edit Valid 2009-01-01 16073105
16073106 Leutenberg, Stadt Quick edit Valid 2009-01-01 16073106
16073107 Drognitz Quick edit Valid 2009-01-01 16073107
16073108 Saalfelder Höhe Quick edit Valid 2009-01-01 16073108
16073109 Uhlstädt-Kirchhasel Quick edit Valid 2009-01-01 16073109
16073111 Unterwellenborn Quick edit Valid 2009-01-01 16073111
16074001 Albersdorf Quick edit Valid 2009-01-01 16074001
16074002 Altenberga Quick edit Valid 2009-01-01 16074002
16074003 Bad Klosterlausnitz Quick edit Valid 2009-01-01 16074003
16074004 Bibra Quick edit Valid 2009-01-01 16074004
16074005 Bobeck Quick edit Valid 2009-01-01 16074005
16074006 Bollberg Quick edit Valid 2009-01-01 16074006
16074007 Bremsnitz Quick edit Valid 2009-01-01 16074007
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?