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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 10,301 to 10,320.First512513514515516517518519Last
Id Label Status Status Modified Notation
16061053 Jützenbach Quick edit Valid 2009-01-01 16061053
16061054 Kallmerode Quick edit Valid 2009-01-01 16061054
16061055 Kefferhausen Quick edit Valid 2009-01-01 16061055
16061056 Kella Quick edit Valid 2009-01-01 16061056
16061057 Kirchgandern Quick edit Valid 2009-01-01 16061057
16061058 Kirchworbis Quick edit Valid 2009-01-01 16061058
16061059 Kleinbartloff Quick edit Valid 2009-01-01 16061059
16061061 Kreuzebra Quick edit Valid 2009-01-01 16061061
16061062 Krombach Quick edit Valid 2009-01-01 16061062
16061063 Küllstedt Quick edit Valid 2009-01-01 16061063
16061065 Lenterode Quick edit Valid 2009-01-01 16061065
16061066 Lindewerra Quick edit Valid 2009-01-01 16061066
16061067 Lutter Quick edit Valid 2009-01-01 16061067
16061068 Mackenrode Quick edit Valid 2009-01-01 16061068
16061069 Marth Quick edit Valid 2009-01-01 16061069
16061073 Neustadt Quick edit Valid 2009-01-01 16061073
16061074 Niederorschel Quick edit Valid 2009-01-01 16061074
16061075 Pfaffschwende Quick edit Valid 2009-01-01 16061075
16061076 Reinholterode Quick edit Valid 2009-01-01 16061076
16061077 Röhrig Quick edit Valid 2009-01-01 16061077
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?