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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 11,121 to 11,140.First553554555556557558559560Last
Id Label Status Status Modified Notation
16076028 Hirschfeld Quick edit Valid 2009-01-01 16076028
16076029 Hohenleuben, Stadt Quick edit Valid 2009-01-01 16076029
16076031 Hohenölsen Quick edit Valid 2009-01-01 16076031
16076033 Hundhaupten Quick edit Valid 2009-01-01 16076033
16076034 Kauern Quick edit Valid 2009-01-01 16076034
16076036 Korbußen Quick edit Valid 2009-01-01 16076036
16076038 Kühdorf Quick edit Valid 2009-01-01 16076038
16076039 Langenwetzendorf Quick edit Valid 2009-01-01 16076039
16076041 Langenwolschendorf Quick edit Valid 2009-01-01 16076041
16076042 Lederhose Quick edit Valid 2009-01-01 16076042
16076043 Linda b. Weida Quick edit Valid 2009-01-01 16076043
16076044 Lindenkreuz Quick edit Valid 2009-01-01 16076044
16076045 Lunzig Quick edit Valid 2009-01-01 16076045
16076046 Merkendorf Quick edit Valid 2009-01-01 16076046
16076047 Mohlsdorf Quick edit Valid 2009-01-01 16076047
16076049 Münchenbernsdorf, Stadt Quick edit Valid 2009-01-01 16076049
16076051 Neugernsdorf Quick edit Valid 2009-01-01 16076051
16076052 Neumühle/Elster Quick edit Valid 2009-01-01 16076052
16076055 Paitzdorf Quick edit Valid 2009-01-01 16076055
16076058 Pölzig Quick edit Valid 2009-01-01 16076058
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?