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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 921 to 940.First4344454647484950Last
Id Label Status Status Modified Notation
01060069 Rohlstorf Quick edit Valid 2009-01-01 01060069
01060070 Schackendorf Quick edit Valid 2009-01-01 01060070
01060071 Schieren Quick edit Valid 2009-01-01 01060071
01060072 Schmalensee Quick edit Valid 2009-01-01 01060072
01060073 Schmalfeld Quick edit Valid 2009-01-01 01060073
01060074 Schwissel Quick edit Valid 2009-01-01 01060074
01060075 Seedorf Quick edit Valid 2009-01-01 01060075
01060076 Seth Quick edit Valid 2009-01-01 01060076
01060077 Sievershütten Quick edit Valid 2009-01-01 01060077
01060079 Stipsdorf Quick edit Valid 2009-01-01 01060079
01060080 Stocksee Quick edit Valid 2009-01-01 01060080
01060081 Strukdorf Quick edit Valid 2009-01-01 01060081
01060082 Struvenhütten Quick edit Valid 2009-01-01 01060082
01060084 Stuvenborn Quick edit Valid 2009-01-01 01060084
01060085 Sülfeld Quick edit Valid 2009-01-01 01060085
01060086 Tarbek Quick edit Valid 2009-01-01 01060086
01060087 Tensfeld Quick edit Valid 2009-01-01 01060087
01060088 Todesfelde Quick edit Valid 2009-01-01 01060088
01060089 Trappenkamp Quick edit Valid 2009-01-01 01060089
01060090 Travenhorst Quick edit Valid 2009-01-01 01060090
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?