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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 10,361 to 10,380.First515516517518519520521522Last
Id Label Status Status Modified Notation
16062018 Herrmannsacker Quick edit Valid 2009-01-01 16062018
16062022 Ilfeld Quick edit Valid 2009-01-01 16062022
16062024 Kehmstedt Quick edit Valid 2009-01-01 16062024
16062025 Kleinbodungen Quick edit Valid 2009-01-01 16062025
16062026 Kleinfurra Quick edit Valid 2009-01-01 16062026
16062029 Kraja Quick edit Valid 2009-01-01 16062029
16062033 Lipprechterode Quick edit Valid 2009-01-01 16062033
16062036 Neustadt/Harz Quick edit Valid 2009-01-01 16062036
16062037 Niedergebra Quick edit Valid 2009-01-01 16062037
16062038 Niedersachswerfen Quick edit Valid 2009-01-01 16062038
16062039 Nohra Quick edit Valid 2009-01-01 16062039
16062041 Nordhausen, Stadt Quick edit Valid 2009-01-01 16062041
16062049 Sollstedt Quick edit Valid 2009-01-01 16062049
16062054 Urbach Quick edit Valid 2009-01-01 16062054
16062055 Uthleben Quick edit Valid 2009-01-01 16062055
16062057 Windehausen Quick edit Valid 2009-01-01 16062057
16062058 Wipperdorf Quick edit Valid 2009-01-01 16062058
16062059 Wolkramshausen Quick edit Valid 2009-01-01 16062059
16062062 Hohenstein Quick edit Valid 2009-01-01 16062062
16062063 Werther Quick edit Valid 2009-01-01 16062063
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?