You are here:
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 861 to 880.First4041424344454647Last
Id Label Status Status Modified Notation
01060007 Bark Quick edit Valid 2009-01-01 01060007
01060008 Bebensee Quick edit Valid 2009-01-01 01060008
01060009 Bimöhlen Quick edit Valid 2009-01-01 01060009
01060010 Blunk Quick edit Valid 2009-01-01 01060010
01060011 Boostedt Quick edit Valid 2009-01-01 01060011
01060012 Bornhöved Quick edit Valid 2009-01-01 01060012
01060013 Borstel Quick edit Valid 2009-01-01 01060013
01060014 Buchholz (Forstgutsbez.),gemfr. Gebiet Quick edit Valid 2009-01-01 01060014
01060015 Bühnsdorf Quick edit Valid 2009-01-01 01060015
01060016 Daldorf Quick edit Valid 2009-01-01 01060016
01060017 Damsdorf Quick edit Valid 2009-01-01 01060017
01060018 Dreggers Quick edit Valid 2009-01-01 01060018
01060019 Ellerau Quick edit Valid 2009-01-01 01060019
01060020 Fahrenkrug Quick edit Valid 2009-01-01 01060020
01060021 Föhrden-Barl Quick edit Valid 2009-01-01 01060021
01060022 Fredesdorf Quick edit Valid 2009-01-01 01060022
01060023 Fuhlendorf Quick edit Valid 2009-01-01 01060023
01060024 Geschendorf Quick edit Valid 2009-01-01 01060024
01060025 Glasau Quick edit Valid 2009-01-01 01060025
01060026 Gönnebek Quick edit Valid 2009-01-01 01060026
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?