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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 10,901 to 10,920.First542543544545546547548549Last
Id Label Status Status Modified Notation
16073017 Döschnitz Quick edit Valid 2009-01-01 16073017
16073021 Dröbischau Quick edit Valid 2009-01-01 16073021
16073028 Gräfenthal, Stadt Quick edit Valid 2009-01-01 16073028
16073035 Hohenwarte Quick edit Valid 2009-01-01 16073035
16073036 Kamsdorf Quick edit Valid 2009-01-01 16073036
16073037 Katzhütte Quick edit Valid 2009-01-01 16073037
16073038 Kaulsdorf Quick edit Valid 2009-01-01 16073038
16073042 Königsee, Stadt Quick edit Valid 2009-01-01 16073042
16073046 Lehesten, Stadt Quick edit Valid 2009-01-01 16073046
16073049 Lichte Quick edit Valid 2009-01-01 16073049
16073054 Mellenbach-Glasbach Quick edit Valid 2009-01-01 16073054
16073055 Meura Quick edit Valid 2009-01-01 16073055
16073056 Meuselbach-Schwarzmühle Quick edit Valid 2009-01-01 16073056
16073063 Oberhain Quick edit Valid 2009-01-01 16073063
16073065 Oberweißbach/Thür. Wald, Stadt Quick edit Valid 2009-01-01 16073065
16073066 Piesau Quick edit Valid 2009-01-01 16073066
16073067 Probstzella Quick edit Valid 2009-01-01 16073067
16073068 Reichmannsdorf Quick edit Valid 2009-01-01 16073068
16073074 Rohrbach Quick edit Valid 2009-01-01 16073074
16073075 Rottenbach Quick edit Valid 2009-01-01 16073075
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?