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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 1,141 to 1,160.First5455565758596061Last
Id Label Status Status Modified Notation
03151019 Obernholz Quick edit Valid 2009-01-01 03151019
03151020 Osloß Quick edit Valid 2009-01-01 03151020
03151021 Parsau Quick edit Valid 2009-01-01 03151021
03151022 Ribbesbüttel Quick edit Valid 2009-01-01 03151022
03151023 Rötgesbüttel Quick edit Valid 2009-01-01 03151023
03151024 Rühen Quick edit Valid 2009-01-01 03151024
03151025 Sassenburg Quick edit Valid 2009-01-01 03151025
03151026 Schönewörde Quick edit Valid 2009-01-01 03151026
03151027 Schwülper Quick edit Valid 2009-01-01 03151027
03151028 Sprakensehl Quick edit Valid 2009-01-01 03151028
03151029 Steinhorst Quick edit Valid 2009-01-01 03151029
03151030 Tappenbeck Quick edit Valid 2009-01-01 03151030
03151031 Tiddische Quick edit Valid 2009-01-01 03151031
03151032 Tülau Quick edit Valid 2009-01-01 03151032
03151033 Ummern Quick edit Valid 2009-01-01 03151033
03151034 Vordorf Quick edit Valid 2009-01-01 03151034
03151035 Wagenhoff Quick edit Valid 2009-01-01 03151035
03151036 Wahrenholz Quick edit Valid 2009-01-01 03151036
03151037 Wasbüttel Quick edit Valid 2009-01-01 03151037
03151038 Wesendorf Quick edit Valid 2009-01-01 03151038
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?