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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 121 to 140.First345678910Last
Id Label Status Status Modified Notation
01053001 Albsfelde Quick edit Valid 2009-01-01 01053001
01053002 Alt Mölln Quick edit Valid 2009-01-01 01053002
01053003 Aumühle Quick edit Valid 2009-01-01 01053003
01053004 Bäk Quick edit Valid 2009-01-01 01053004
01053005 Bälau Quick edit Valid 2009-01-01 01053005
01053006 Basedow Quick edit Valid 2009-01-01 01053006
01053007 Basthorst Quick edit Valid 2009-01-01 01053007
01053008 Behlendorf Quick edit Valid 2009-01-01 01053008
01053009 Berkenthin Quick edit Valid 2009-01-01 01053009
01053010 Besenthal Quick edit Valid 2009-01-01 01053010
01053011 Bliestorf Quick edit Valid 2009-01-01 01053011
01053012 Börnsen Quick edit Valid 2009-01-01 01053012
01053013 Borstorf Quick edit Valid 2009-01-01 01053013
01053014 Breitenfelde Quick edit Valid 2009-01-01 01053014
01053015 Bröthen Quick edit Valid 2009-01-01 01053015
01053016 Brunsmark Quick edit Valid 2009-01-01 01053016
01053017 Brunstorf Quick edit Valid 2009-01-01 01053017
01053018 Buchholz Quick edit Valid 2009-01-01 01053018
01053019 Buchhorst Quick edit Valid 2009-01-01 01053019
01053020 Büchen Quick edit Valid 2009-01-01 01053020
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?