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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 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
01058113 Nienborstel Quick edit Valid 2009-01-01 01058113
01058115 Nindorf Quick edit Valid 2009-01-01 01058115
01058116 Noer Quick edit Valid 2009-01-01 01058116
01058117 Nortorf, Stadt Quick edit Valid 2009-01-01 01058117
01058118 Nübbel Quick edit Valid 2009-01-01 01058118
01058119 Oldenbüttel Quick edit Valid 2009-01-01 01058119
01058120 Oldenhütten Quick edit Valid 2009-01-01 01058120
01058121 Osdorf Quick edit Valid 2009-01-01 01058121
01058122 Ostenfeld (Rendsburg) Quick edit Valid 2009-01-01 01058122
01058123 Osterby Quick edit Valid 2009-01-01 01058123
01058124 Osterrönfeld Quick edit Valid 2009-01-01 01058124
01058125 Osterstedt Quick edit Valid 2009-01-01 01058125
01058126 Ottendorf Quick edit Valid 2009-01-01 01058126
01058127 Owschlag Quick edit Valid 2009-01-01 01058127
01058128 Padenstedt Quick edit Valid 2009-01-01 01058128
01058129 Prinzenmoor Quick edit Valid 2009-01-01 01058129
01058130 Quarnbek Quick edit Valid 2009-01-01 01058130
01058131 Rade b. Hohenwestedt Quick edit Valid 2009-01-01 01058131
01058132 Rade b. Rendsburg Quick edit Valid 2009-01-01 01058132
01058133 Reesdorf Quick edit Valid 2009-01-01 01058133
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?