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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 1,061 to 1,080.First5051525354555657Last
Id Label Status Status Modified Notation
01061117 Wulfsmoor Quick edit Valid 2009-01-01 01061117
01061118 Kollmar Quick edit Valid 2009-01-01 01061118
01061119 Neuendorf-Sachsenbande Quick edit Valid 2009-01-01 01061119
01062001 Ahrensburg, Stadt Quick edit Valid 2009-01-01 01062001
01062003 Badendorf Quick edit Valid 2009-01-01 01062003
01062004 Bad Oldesloe, Stadt Quick edit Valid 2009-01-01 01062004
01062005 Bargfeld-Stegen Quick edit Valid 2009-01-01 01062005
01062006 Bargteheide, Stadt Quick edit Valid 2009-01-01 01062006
01062008 Barnitz Quick edit Valid 2009-01-01 01062008
01062009 Barsbüttel Quick edit Valid 2009-01-01 01062009
01062011 Braak Quick edit Valid 2009-01-01 01062011
01062014 Delingsdorf Quick edit Valid 2009-01-01 01062014
01062016 Elmenhorst Quick edit Valid 2009-01-01 01062016
01062018 Glinde, Stadt Quick edit Valid 2009-01-01 01062018
01062019 Grabau Quick edit Valid 2009-01-01 01062019
01062020 Grande Quick edit Valid 2009-01-01 01062020
01062021 Grönwohld Quick edit Valid 2009-01-01 01062021
01062022 Großensee Quick edit Valid 2009-01-01 01062022
01062023 Großhansdorf Quick edit Valid 2009-01-01 01062023
01062025 Hamberge Quick edit Valid 2009-01-01 01062025
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?