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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 11,041 to 11,060.First549550551552553554555556Last
Id Label Status Status Modified Notation
16075023 Eßbach Quick edit Valid 2009-01-01 16075023
16075029 Geroda Quick edit Valid 2009-01-01 16075029
16075031 Gertewitz Quick edit Valid 2009-01-01 16075031
16075033 Görkwitz Quick edit Valid 2009-01-01 16075033
16075034 Göschitz Quick edit Valid 2009-01-01 16075034
16075035 Gössitz Quick edit Valid 2009-01-01 16075035
16075039 Grobengereuth Quick edit Valid 2009-01-01 16075039
16075042 Harra Quick edit Valid 2009-01-01 16075042
16075046 Hirschberg, Stadt Quick edit Valid 2009-01-01 16075046
16075047 Keila Quick edit Valid 2009-01-01 16075047
16075048 Kirschkau Quick edit Valid 2009-01-01 16075048
16075049 Knau Quick edit Valid 2009-01-01 16075049
16075051 Kospoda Quick edit Valid 2009-01-01 16075051
16075054 Langenorla Quick edit Valid 2009-01-01 16075054
16075056 Lausnitz b. Neustadt an der Orla Quick edit Valid 2009-01-01 16075056
16075057 Lemnitz Quick edit Valid 2009-01-01 16075057
16075061 Linda b. Neustadt an der Orla Quick edit Valid 2009-01-01 16075061
16075062 Bad Lobenstein, Stadt Quick edit Valid 2009-01-01 16075062
16075063 Löhma Quick edit Valid 2009-01-01 16075063
16075065 Miesitz Quick edit Valid 2009-01-01 16075065
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?