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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 10,321 to 10,340.First513514515516517518519520Last
Id Label Status Status Modified Notation
16061078 Rohrberg Quick edit Valid 2009-01-01 16061078
16061082 Rustenfelde Quick edit Valid 2009-01-01 16061082
16061083 Schachtebich Quick edit Valid 2009-01-01 16061083
16061084 Schönhagen Quick edit Valid 2009-01-01 16061084
16061085 Schwobfeld Quick edit Valid 2009-01-01 16061085
16061086 Sickerode Quick edit Valid 2009-01-01 16061086
16061087 Silberhausen Quick edit Valid 2009-01-01 16061087
16061088 Silkerode Quick edit Valid 2009-01-01 16061088
16061089 Steinbach Quick edit Valid 2009-01-01 16061089
16061091 Steinheuterode Quick edit Valid 2009-01-01 16061091
16061092 Steinrode Quick edit Valid 2009-01-01 16061092
16061093 Stöckey Quick edit Valid 2009-01-01 16061093
16061094 Tastungen Quick edit Valid 2009-01-01 16061094
16061096 Thalwenden Quick edit Valid 2009-01-01 16061096
16061097 Uder Quick edit Valid 2009-01-01 16061097
16061098 Volkerode Quick edit Valid 2009-01-01 16061098
16061099 Vollenborn Quick edit Valid 2009-01-01 16061099
16061101 Wachstedt Quick edit Valid 2009-01-01 16061101
16061102 Wahlhausen Quick edit Valid 2009-01-01 16061102
16061103 Wehnde Quick edit Valid 2009-01-01 16061103
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?