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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
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  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

11,204 concepts found, displaying 10,161 to 10,180.First505506507508509510511512Last
Id Label Status Status Modified Notation
15089310 Staßfurt, Stadt Quick edit Valid 2010-01-01 15089310
15089365 Wolmirsleben Quick edit Valid 2010-01-01 15089365
15090003 Aland Quick edit Valid 2010-01-01 15090003
15090007 Altmärkische Höhe Quick edit Valid 2010-01-01 15090007
15090008 Altmärkische Wische Quick edit Valid 2010-01-01 15090008
15090010 Arneburg, Stadt Quick edit Valid 2010-01-01 15090010
15090045 Bellingen Quick edit Valid 2013-05-29 15090045
15090065 Birkholz Quick edit Valid 2013-05-29 15090065
15090070 Bismark (Altmark), Stadt Quick edit Valid 2010-01-01 15090070
15090075 Bittkau Quick edit Valid 2013-05-29 15090075
15090110 Cobbel Quick edit Valid 2013-05-29 15090110
15090115 Dahlen Quick edit Valid 2010-01-01 15090115
15090120 Demker Quick edit Valid 2013-05-29 15090120
15090135 Eichstedt (Altmark) Quick edit Valid 2010-01-01 15090135
15090180 Goldbeck Quick edit Valid 2010-01-01 15090180
15090195 Grieben Quick edit Valid 2013-05-29 15090195
15090220 Hassel Quick edit Valid 2010-01-01 15090220
15090225 Havelberg, Hansestadt Quick edit Valid 2009-01-01 15090225
15090245 Hohenberg-Krusemark Quick edit Valid 2010-01-01 15090245
15090265 Hüselitz Quick edit Valid 2013-05-29 15090265
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?