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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 10,821 to 10,840.First538539540541542543544545Last
Id Label Status Status Modified Notation
16071023 Großobringen Quick edit Valid 2009-01-01 16071023
16071025 Großschwabhausen Quick edit Valid 2009-01-01 16071025
16071027 Hammerstedt Quick edit Valid 2009-01-01 16071027
16071028 Heichelheim Quick edit Valid 2009-01-01 16071028
16071031 Hetschburg Quick edit Valid 2009-01-01 16071031
16071032 Hohenfelden Quick edit Valid 2009-01-01 16071032
16071034 Hopfgarten Quick edit Valid 2009-01-01 16071034
16071036 Isseroda Quick edit Valid 2009-01-01 16071036
16071037 Kapellendorf Quick edit Valid 2009-01-01 16071037
16071038 Kiliansroda Quick edit Valid 2009-01-01 16071038
16071039 Kleinobringen Quick edit Valid 2009-01-01 16071039
16071042 Kleinschwabhausen Quick edit Valid 2009-01-01 16071042
16071043 Klettbach Quick edit Valid 2009-01-01 16071043
16071044 Ködderitzsch Quick edit Valid 2009-01-01 16071044
16071046 Kranichfeld, Stadt Quick edit Valid 2009-01-01 16071046
16071047 Krautheim Quick edit Valid 2009-01-01 16071047
16071048 Kromsdorf Quick edit Valid 2009-01-01 16071048
16071049 Lehnstedt Quick edit Valid 2009-01-01 16071049
16071051 Leutenthal Quick edit Valid 2009-01-01 16071051
16071052 Liebstedt Quick edit Valid 2009-01-01 16071052
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?