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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 761 to 780.First3536373839404142Last
Id Label Status Status Modified Notation
01059058 Meggerdorf Quick edit Valid 2009-01-01 01059058
01059060 Mohrkirch Quick edit Valid 2009-01-01 01059060
01059062 Neuberend Quick edit Valid 2009-01-01 01059062
01059063 Norderbrarup Quick edit Valid 2009-01-01 01059063
01059064 Norderstapel Quick edit Valid 2009-01-01 01059064
01059065 Nottfeld Quick edit Valid 2009-01-01 01059065
01059067 Oersberg Quick edit Valid 2009-01-01 01059067
01059068 Rabenkirchen-Faulück Quick edit Valid 2009-01-01 01059068
01059069 Rüde Quick edit Valid 2009-01-01 01059069
01059070 Rügge Quick edit Valid 2009-01-01 01059070
01059071 Satrup Quick edit Valid 2009-01-01 01059071
01059072 Saustrup Quick edit Valid 2009-01-01 01059072
01059073 Schaalby Quick edit Valid 2009-01-01 01059073
01059074 Scheggerott Quick edit Valid 2009-01-01 01059074
01059075 Schleswig, Stadt Quick edit Valid 2009-01-01 01059075
01059076 Schnarup-Thumby Quick edit Valid 2009-01-01 01059076
01059077 Schuby Quick edit Valid 2009-01-01 01059077
01059078 Selk Quick edit Valid 2009-01-01 01059078
01059079 Silberstedt Quick edit Valid 2009-01-01 01059079
01059080 Steinfeld Quick edit Valid 2009-01-01 01059080
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?