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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 10,881 to 10,900.First541542543544545546547548Last
Id Label Status Status Modified Notation
16072006 Goldisthal Quick edit Valid 2009-01-01 16072006
16072009 Judenbach Quick edit Valid 2009-01-01 16072009
16072011 Lauscha, Stadt Quick edit Valid 2009-01-01 16072011
16072012 Mengersgereuth-Hämmern Quick edit Valid 2009-01-01 16072012
16072013 Neuhaus am Rennweg, Stadt Quick edit Valid 2009-01-01 16072013
16072014 Neuhaus-Schierschnitz Quick edit Valid 2009-01-01 16072014
16072015 Schalkau, Stadt Quick edit Valid 2009-01-01 16072015
16072016 Scheibe-Alsbach Quick edit Valid 2009-01-01 16072016
16072017 Siegmundsburg Quick edit Valid 2009-01-01 16072017
16072018 Sonneberg, Stadt Quick edit Valid 2009-01-01 16072018
16072019 Steinach, Stadt Quick edit Valid 2009-01-01 16072019
16072021 Steinheid Quick edit Valid 2009-01-01 16072021
16072022 Oberland am Rennsteig Quick edit Valid 2009-01-01 16072022
16073001 Allendorf Quick edit Valid 2009-01-01 16073001
16073002 Altenbeuthen Quick edit Valid 2009-01-01 16073002
16073004 Arnsgereuth Quick edit Valid 2009-01-01 16073004
16073005 Bad Blankenburg, Stadt Quick edit Valid 2009-01-01 16073005
16073006 Bechstedt Quick edit Valid 2009-01-01 16073006
16073013 Cursdorf Quick edit Valid 2009-01-01 16073013
16073014 Deesbach Quick edit Valid 2009-01-01 16073014
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?