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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 10,941 to 10,960.First544545546547548549550551Last
Id Label Status Status Modified Notation
16074008 Bucha Quick edit Valid 2009-01-01 16074008
16074009 Bürgel, Stadt Quick edit Valid 2009-01-01 16074009
16074011 Dornburg-Camburg, Stadt Quick edit Valid 2009-01-01 16074011
16074012 Crossen an der Elster Quick edit Valid 2009-01-01 16074012
16074016 Eichenberg Quick edit Valid 2009-01-01 16074016
16074017 Eineborn Quick edit Valid 2009-01-01 16074017
16074018 Eisenberg, Stadt Quick edit Valid 2009-01-01 16074018
16074019 Frauenprießnitz Quick edit Valid 2009-01-01 16074019
16074021 Freienorla Quick edit Valid 2009-01-01 16074021
16074022 Geisenhain Quick edit Valid 2009-01-01 16074022
16074024 Gneus Quick edit Valid 2009-01-01 16074024
16074025 Gösen Quick edit Valid 2009-01-01 16074025
16074026 Golmsdorf Quick edit Valid 2009-01-01 16074026
16074028 Graitschen b. Bürgel Quick edit Valid 2009-01-01 16074028
16074029 Großbockedra Quick edit Valid 2009-01-01 16074029
16074031 Großeutersdorf Quick edit Valid 2009-01-01 16074031
16074032 Großlöbichau Quick edit Valid 2009-01-01 16074032
16074033 Großpürschütz Quick edit Valid 2009-01-01 16074033
16074034 Gumperda Quick edit Valid 2009-01-01 16074034
16074036 Hainichen Quick edit Valid 2009-01-01 16074036
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?