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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 10,781 to 10,800.First536537538539540541542543Last
Id Label Status Status Modified Notation
16070028 Ichtershausen Quick edit Valid 2009-01-01 16070028
16070029 Ilmenau, Stadt Quick edit Valid 2009-01-01 16070029
16070031 Kirchheim Quick edit Valid 2009-01-01 16070031
16070032 Langewiesen, Stadt Quick edit Valid 2009-01-01 16070032
16070033 Liebenstein Quick edit Valid 2009-01-01 16070033
16070034 Martinroda Quick edit Valid 2009-01-01 16070034
16070035 Möhrenbach Quick edit Valid 2009-01-01 16070035
16070037 Neusiß Quick edit Valid 2009-01-01 16070037
16070038 Neustadt am Rennsteig Quick edit Valid 2009-01-01 16070038
16070041 Osthausen-Wülfershausen Quick edit Valid 2009-01-01 16070041
16070042 Pennewitz Quick edit Valid 2009-01-01 16070042
16070043 Plaue, Stadt Quick edit Valid 2009-01-01 16070043
16070044 Rockhausen Quick edit Valid 2009-01-01 16070044
16070046 Schmiedefeld am Rennsteig Quick edit Valid 2009-01-01 16070046
16070048 Stadtilm, Stadt Quick edit Valid 2009-01-01 16070048
16070049 Stützerbach Quick edit Valid 2009-01-01 16070049
16070051 Wachsenburggemeinde Quick edit Valid 2009-01-01 16070051
16070052 Wildenspring Quick edit Valid 2009-01-01 16070052
16070053 Wipfratal Quick edit Valid 2009-01-01 16070053
16070054 Witzleben Quick edit Valid 2009-01-01 16070054
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?