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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 521 to 540.First2324252627282930Last
Id Label Status Status Modified Notation
DE118 Heilbronn, Landkreis Quick edit Valid 2013-09-25 DE118
DE119 Hohenlohekreis Quick edit Valid 2013-09-25 DE119
DE11A Schwäbisch Hall Quick edit Valid 2013-09-25 DE11A
DE11B Main-Tauber-Kreis Quick edit Valid 2013-09-25 DE11B
DE11C Heidenheim Quick edit Valid 2013-09-25 DE11C
DE11D Ostalbkreis Quick edit Valid 2013-09-25 DE11D
DE12 Karlsruhe Quick edit Valid 2013-09-25 DE12
DE121 Baden-Baden, Stadtkreis Quick edit Valid 2013-09-25 DE121
DE122 Karlsruhe, Stadtkreis Quick edit Valid 2013-09-25 DE122
DE123 Karlsruhe, Landkreis Quick edit Valid 2013-09-25 DE123
DE124 Rastatt Quick edit Valid 2013-09-25 DE124
DE125 Heidelberg, Stadtkreis Quick edit Valid 2013-09-25 DE125
DE126 Mannheim, Stadtkreis Quick edit Valid 2013-09-25 DE126
DE127 Neckar-Odenwald-Kreis Quick edit Valid 2013-09-25 DE127
DE128 Rhein-Neckar-Kreis Quick edit Valid 2013-09-25 DE128
DE129 Pforzheim, Stadtkreis Quick edit Valid 2013-09-25 DE129
DE12A Calw Quick edit Valid 2013-09-25 DE12A
DE12B Enzkreis Quick edit Valid 2013-09-25 DE12B
DE12C Freudenstadt Quick edit Valid 2013-09-25 DE12C
DE13 Freiburg Quick edit Valid 2013-09-25 DE13
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?