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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 961 to 980.First4546474849505152Last
Id Label Status Status Modified Notation
01061011 Besdorf Quick edit Valid 2009-01-01 01061011
01061012 Blomesche Wildnis Quick edit Valid 2009-01-01 01061012
01061013 Bokelrehm Quick edit Valid 2009-01-01 01061013
01061014 Bokhorst Quick edit Valid 2009-01-01 01061014
01061015 Borsfleth Quick edit Valid 2009-01-01 01061015
01061016 Breitenberg Quick edit Valid 2009-01-01 01061016
01061017 Breitenburg Quick edit Valid 2009-01-01 01061017
01061018 Brokdorf Quick edit Valid 2009-01-01 01061018
01061019 Brokstedt Quick edit Valid 2009-01-01 01061019
01061020 Büttel Quick edit Valid 2009-01-01 01061020
01061021 Christinenthal Quick edit Valid 2009-01-01 01061021
01061022 Dägeling Quick edit Valid 2009-01-01 01061022
01061023 Dammfleth Quick edit Valid 2009-01-01 01061023
01061024 Drage Quick edit Valid 2009-01-01 01061024
01061025 Ecklak Quick edit Valid 2009-01-01 01061025
01061026 Elskop Quick edit Valid 2009-01-01 01061026
01061027 Engelbrechtsche Wildnis Quick edit Valid 2009-01-01 01061027
01061028 Fitzbek Quick edit Valid 2009-01-01 01061028
01061029 Glückstadt, Stadt Quick edit Valid 2009-01-01 01061029
01061030 Grevenkop Quick edit Valid 2009-01-01 01061030
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?