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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 10,761 to 10,780.First535536537538539540541542Last
Id Label Status Status Modified Notation
16070003 Angelroda Quick edit Valid 2009-01-01 16070003
16070004 Arnstadt, Stadt Quick edit Valid 2009-01-01 16070004
16070005 Böhlen Quick edit Valid 2009-01-01 16070005
16070006 Bösleben-Wüllersleben Quick edit Valid 2009-01-01 16070006
16070008 Dornheim Quick edit Valid 2009-01-01 16070008
16070011 Elgersburg Quick edit Valid 2009-01-01 16070011
16070012 Elleben Quick edit Valid 2009-01-01 16070012
16070013 Elxleben Quick edit Valid 2009-01-01 16070013
16070014 Frankenhain Quick edit Valid 2009-01-01 16070014
16070015 Frauenwald Quick edit Valid 2009-01-01 16070015
16070016 Friedersdorf Quick edit Valid 2009-01-01 16070016
16070017 Gehlberg Quick edit Valid 2009-01-01 16070017
16070018 Gehren, Stadt Quick edit Valid 2009-01-01 16070018
16070019 Geraberg Quick edit Valid 2009-01-01 16070019
16070021 Geschwenda Quick edit Valid 2009-01-01 16070021
16070022 Gillersdorf Quick edit Valid 2009-01-01 16070022
16070023 Gossel Quick edit Valid 2009-01-01 16070023
16070024 Gräfenroda Quick edit Valid 2009-01-01 16070024
16070025 Großbreitenbach, Stadt Quick edit Valid 2009-01-01 16070025
16070027 Herschdorf Quick edit Valid 2009-01-01 16070027
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?