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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 10,221 to 10,240.First508509510511512513514515Last
Id Label Status Status Modified Notation
15091085 Elster (Elbe) Quick edit Valid 2013-05-29 15091085
15091095 Gadegast Quick edit Valid 2013-05-29 15091095
15091105 Gohrau Quick edit Valid 2013-05-29 15091105
15091110 Gräfenhainichen, Stadt Quick edit Valid 2013-05-29 15091110
15091120 Griesen Quick edit Valid 2013-05-29 15091120
15091125 Groß Naundorf Quick edit Valid 2013-05-29 15091125
15091130 Horstdorf Quick edit Valid 2013-05-29 15091130
15091145 Jessen (Elster), Stadt Quick edit Valid 2009-01-01 15091145
15091155 Kakau Quick edit Valid 2013-05-29 15091155
15091160 Kemberg, Stadt Quick edit Valid 2010-01-01 15091160
15091170 Klöden Quick edit Valid 2013-05-29 15091170
15091190 Labrun Quick edit Valid 2013-05-29 15091190
15091195 Lebien Quick edit Valid 2013-05-29 15091195
15091200 Leetza Quick edit Valid 2013-05-29 15091200
15091205 Listerfehrda Quick edit Valid 2013-05-29 15091205
15091220 Möhlau Quick edit Valid 2013-05-29 15091220
15091230 Mühlanger Quick edit Valid 2013-05-29 15091230
15091240 Oranienbaum, Stadt Quick edit Valid 2013-05-29 15091240
15091245 Plossig Quick edit Valid 2013-05-29 15091245
15091250 Prettin, Stadt Quick edit Valid 2013-05-29 15091250
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?