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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 10,501 to 10,520.First522523524525526527528529Last
Id Label Status Status Modified Notation
16065018 Freienbessingen Quick edit Valid 2009-01-01 16065018
16065019 Gehofen Quick edit Valid 2009-01-01 16065019
16065021 Göllingen Quick edit Valid 2009-01-01 16065021
16065022 Gorsleben Quick edit Valid 2009-01-01 16065022
16065023 Greußen, Stadt Quick edit Valid 2009-01-01 16065023
16065027 Günserode Quick edit Valid 2009-01-01 16065027
16065029 Hachelbich Quick edit Valid 2009-01-01 16065029
16065031 Hauteroda Quick edit Valid 2009-01-01 16065031
16065032 Helbedündorf Quick edit Valid 2009-01-01 16065032
16065033 Heldrungen, Stadt Quick edit Valid 2009-01-01 16065033
16065034 Hemleben Quick edit Valid 2009-01-01 16065034
16065035 Heygendorf Quick edit Valid 2009-01-01 16065035
16065038 Holzsußra Quick edit Valid 2009-01-01 16065038
16065039 Ichstedt Quick edit Valid 2009-01-01 16065039
16065042 Kalbsrieth Quick edit Valid 2009-01-01 16065042
16065046 Mönchpfiffel-Nikolausrieth Quick edit Valid 2009-01-01 16065046
16065047 Nausitz Quick edit Valid 2009-01-01 16065047
16065048 Niederbösa Quick edit Valid 2009-01-01 16065048
16065051 Oberbösa Quick edit Valid 2009-01-01 16065051
16065052 Oberheldrungen Quick edit Valid 2009-01-01 16065052
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?