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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 721 to 740.First3334353637383940Last
Id Label Status Status Modified Notation
01058175 Ahlefeld-Bistensee Quick edit Valid 2009-01-01 01058175
01059001 Alt Bennebek Quick edit Valid 2009-01-01 01059001
01059002 Arnis, Stadt Quick edit Valid 2009-01-01 01059002
01059005 Bergenhusen Quick edit Valid 2009-01-01 01059005
01059006 Böel Quick edit Valid 2009-01-01 01059006
01059008 Böklund Quick edit Valid 2009-01-01 01059008
01059009 Börm Quick edit Valid 2009-01-01 01059009
01059010 Bollingstedt Quick edit Valid 2009-01-01 01059010
01059011 Boren Quick edit Valid 2009-01-01 01059011
01059012 Borgwedel Quick edit Valid 2009-01-01 01059012
01059014 Brebel Quick edit Valid 2009-01-01 01059014
01059016 Brodersby Quick edit Valid 2009-01-01 01059016
01059018 Busdorf Quick edit Valid 2009-01-01 01059018
01059019 Dannewerk Quick edit Valid 2009-01-01 01059019
01059020 Dörpstedt Quick edit Valid 2009-01-01 01059020
01059021 Dollrottfeld Quick edit Valid 2009-01-01 01059021
01059022 Ekenis Quick edit Valid 2009-01-01 01059022
01059023 Ellingstedt Quick edit Valid 2009-01-01 01059023
01059024 Erfde Quick edit Valid 2009-01-01 01059024
01059026 Fahrdorf Quick edit Valid 2009-01-01 01059026
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?