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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 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
01053062 Kittlitz Quick edit Valid 2009-01-01 01053062
01053064 Klein Pampau Quick edit Valid 2009-01-01 01053064
01053066 Klein Zecher Quick edit Valid 2009-01-01 01053066
01053067 Klempau Quick edit Valid 2009-01-01 01053067
01053068 Klinkrade Quick edit Valid 2009-01-01 01053068
01053069 Koberg Quick edit Valid 2009-01-01 01053069
01053070 Köthel Quick edit Valid 2009-01-01 01053070
01053071 Kollow Quick edit Valid 2009-01-01 01053071
01053072 Kröppelshagen-Fahrendorf Quick edit Valid 2009-01-01 01053072
01053073 Krüzen Quick edit Valid 2009-01-01 01053073
01053074 Krukow Quick edit Valid 2009-01-01 01053074
01053075 Krummesse Quick edit Valid 2009-01-01 01053075
01053076 Kuddewörde Quick edit Valid 2009-01-01 01053076
01053077 Kühsen Quick edit Valid 2009-01-01 01053077
01053078 Kulpin Quick edit Valid 2009-01-01 01053078
01053079 Labenz Quick edit Valid 2009-01-01 01053079
01053080 Langenlehsten Quick edit Valid 2009-01-01 01053080
01053081 Lankau Quick edit Valid 2009-01-01 01053081
01053082 Lanze Quick edit Valid 2009-01-01 01053082
01053083 Lauenburg/ Elbe, Stadt Quick edit Valid 2009-01-01 01053083
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?