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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 641 to 660.First2930313233343536Last
Id Label Status Status Modified Notation
01058092 Kronshagen Quick edit Valid 2009-01-01 01058092
01058093 Krummwisch Quick edit Valid 2009-01-01 01058093
01058094 Langwedel Quick edit Valid 2009-01-01 01058094
01058096 Lindau Quick edit Valid 2009-01-01 01058096
01058097 Lohe-Föhrden Quick edit Valid 2009-01-01 01058097
01058098 Loop Quick edit Valid 2009-01-01 01058098
01058099 Loose Quick edit Valid 2009-01-01 01058099
01058100 Lütjenwestedt Quick edit Valid 2009-01-01 01058100
01058101 Luhnstedt Quick edit Valid 2009-01-01 01058101
01058102 Goosefeld Quick edit Valid 2009-01-01 01058102
01058103 Meezen Quick edit Valid 2009-01-01 01058103
01058104 Melsdorf Quick edit Valid 2009-01-01 01058104
01058105 Mielkendorf Quick edit Valid 2009-01-01 01058105
01058106 Mörel Quick edit Valid 2009-01-01 01058106
01058107 Molfsee Quick edit Valid 2009-01-01 01058107
01058108 Mühbrook Quick edit Valid 2009-01-01 01058108
01058109 Negenharrie Quick edit Valid 2009-01-01 01058109
01058110 Neudorf-Bornstein Quick edit Valid 2009-01-01 01058110
01058111 Neu Duvenstedt Quick edit Valid 2009-01-01 01058111
01058112 Neuwittenbek Quick edit Valid 2009-01-01 01058112
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?