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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 561 to 580.First2526272829303132Last
Id Label Status Status Modified Notation
01058007 Arpsdorf Quick edit Valid 2009-01-01 01058007
01058008 Ascheffel Quick edit Valid 2009-01-01 01058008
01058009 Aukrug Quick edit Valid 2009-01-01 01058009
01058010 Bargstall Quick edit Valid 2009-01-01 01058010
01058011 Bargstedt Quick edit Valid 2009-01-01 01058011
01058012 Barkelsby Quick edit Valid 2009-01-01 01058012
01058013 Beldorf Quick edit Valid 2009-01-01 01058013
01058014 Bendorf Quick edit Valid 2009-01-01 01058014
01058015 Beringstedt Quick edit Valid 2009-01-01 01058015
01058016 Bissee Quick edit Valid 2009-01-01 01058016
01058018 Blumenthal Quick edit Valid 2009-01-01 01058018
01058019 Böhnhusen Quick edit Valid 2009-01-01 01058019
01058021 Bokel Quick edit Valid 2009-01-01 01058021
01058022 Bordesholm Quick edit Valid 2009-01-01 01058022
01058023 Borgdorf-Seedorf Quick edit Valid 2009-01-01 01058023
01058024 Borgstedt Quick edit Valid 2009-01-01 01058024
01058025 Bornholt Quick edit Valid 2009-01-01 01058025
01058026 Bovenau Quick edit Valid 2009-01-01 01058026
01058027 Brammer Quick edit Valid 2009-01-01 01058027
01058028 Bredenbek Quick edit Valid 2009-01-01 01058028
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?