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 1,101 to 1,120.First5253545556575859Last
Id Label Status Status Modified Notation
01062062 Rethwisch Quick edit Valid 2009-01-01 01062062
01062065 Rümpel Quick edit Valid 2009-01-01 01062065
01062069 Siek Quick edit Valid 2009-01-01 01062069
01062071 Stapelfeld Quick edit Valid 2009-01-01 01062071
01062076 Tangstedt Quick edit Valid 2009-01-01 01062076
01062078 Todendorf Quick edit Valid 2009-01-01 01062078
01062081 Tremsbüttel Quick edit Valid 2009-01-01 01062081
01062082 Trittau Quick edit Valid 2009-01-01 01062082
01062083 Westerau Quick edit Valid 2009-01-01 01062083
01062086 Witzhave Quick edit Valid 2009-01-01 01062086
01062087 Zarpen Quick edit Valid 2009-01-01 01062087
01062088 Brunsbek Quick edit Valid 2009-01-01 01062088
01062089 Lasbek Quick edit Valid 2009-01-01 01062089
01062090 Ammersbek Quick edit Valid 2009-01-01 01062090
01062091 Steinburg Quick edit Valid 2009-01-01 01062091
01062092 Travenbrück Quick edit Valid 2009-01-01 01062092
01062093 Feldhorst Quick edit Valid 2009-01-01 01062093
01062094 Wesenberg Quick edit Valid 2009-01-01 01062094
02000000 Hamburg, Freie und Hansestadt Quick edit Valid 2013-05-29 02000000
03101000 Braunschweig, Stadt Quick edit Valid 2013-05-29 03101000
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?