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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 10,461 to 10,480.First520521522523524525526527Last
Id Label Status Status Modified Notation
16064033 Kirchheilingen Quick edit Valid 2009-01-01 16064033
16064035 Kleinwelsbach Quick edit Valid 2009-01-01 16064035
16064036 Klettstedt Quick edit Valid 2009-01-01 16064036
16064037 Körner Quick edit Valid 2009-01-01 16064037
16064038 Kutzleben Quick edit Valid 2009-01-01 16064038
16064039 Langula Quick edit Valid 2009-01-01 16064039
16064042 Lengenfeld unterm Stein Quick edit Valid 2009-01-01 16064042
16064043 Marolterode Quick edit Valid 2009-01-01 16064043
16064045 Mittelsömmern Quick edit Valid 2009-01-01 16064045
16064046 Mühlhausen/Thüringen, Stadt Quick edit Valid 2009-01-01 16064046
16064047 Mülverstedt Quick edit Valid 2009-01-01 16064047
16064048 Neunheilingen Quick edit Valid 2009-01-01 16064048
16064049 Niederdorla Quick edit Valid 2009-01-01 16064049
16064051 Oberdorla Quick edit Valid 2009-01-01 16064051
16064052 Obermehler Quick edit Valid 2009-01-01 16064052
16064053 Oppershausen Quick edit Valid 2009-01-01 16064053
16064055 Rodeberg Quick edit Valid 2009-01-01 16064055
16064057 Schlotheim, Stadt Quick edit Valid 2009-01-01 16064057
16064058 Schönstedt Quick edit Valid 2009-01-01 16064058
16064061 Sundhausen Quick edit Valid 2009-01-01 16064061
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?