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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 541 to 560.First2425262728293031Last
Id Label Status Status Modified Notation
DE131 Freiburg im Breisgau, Stadtkreis Quick edit Valid 2013-09-25 DE131
DE132 Breisgau-Hochschwarzwald Quick edit Valid 2013-09-25 DE132
DE133 Emmendingen Quick edit Valid 2013-09-25 DE133
DE134 Ortenaukreis Quick edit Valid 2013-09-25 DE134
DE135 Rottweil Quick edit Valid 2013-09-25 DE135
DE136 Schwarzwald-Baar-Kreis Quick edit Valid 2013-09-25 DE136
DE137 Tuttlingen Quick edit Valid 2013-09-25 DE137
DE138 Konstanz Quick edit Valid 2013-09-25 DE138
DE139 Lörrach Quick edit Valid 2013-09-25 DE139
DE13A Waldshut Quick edit Valid 2013-09-25 DE13A
DE14 Tübingen Quick edit Valid 2013-09-25 DE14
DE141 Reutlingen Quick edit Valid 2013-09-25 DE141
DE142 Tübingen, Landkreis Quick edit Valid 2013-09-25 DE142
DE143 Zollernalbkreis Quick edit Valid 2013-09-25 DE143
DE144 Ulm, Stadtkreis Quick edit Valid 2013-09-25 DE144
DE145 Alb-Donau-Kreis Quick edit Valid 2013-09-25 DE145
DE146 Biberach Quick edit Valid 2013-09-25 DE146
DE147 Bodenseekreis Quick edit Valid 2013-09-25 DE147
DE148 Ravensburg Quick edit Valid 2013-09-25 DE148
DE149 Sigmaringen Quick edit Valid 2013-09-25 DE149
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?