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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

2,122 concepts found, displaying 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
7919 Mølholm Quick edit Valid 2013-05-30 7919
7920 Smidstrup Quick edit Valid 2013-05-30 7920
7921 Pjedsted Quick edit Valid 2013-05-30 7921
7922 Gårslev Quick edit Valid 2013-05-30 7922
7923 Højen Quick edit Valid 2013-05-30 7923
7924 Jerlev Quick edit Valid 2013-05-30 7924
7925 Egtved Quick edit Valid 2013-05-30 7925
7926 Ødsted Quick edit Valid 2013-05-30 7926
7927 Sankt Nikolai * Quick edit Valid 2013-05-30 7927
7928 Kristkirkens * Quick edit Valid 2013-05-30 7928
7929 Brændkær * Quick edit Valid 2013-05-30 7929
7930 Eltang Quick edit Valid 2013-05-30 7930
7931 Sønder Vilstrup Quick edit Valid 2013-05-30 7931
7932 Nørre Bjert Quick edit Valid 2013-05-30 7932
7933 Harte Quick edit Valid 2013-05-30 7933
7934 Bramdrup Quick edit Valid 2013-05-30 7934
7935 Herslev Quick edit Valid 2013-05-30 7935
7936 Almind Quick edit Valid 2013-05-30 7936
7937 Viuf Quick edit Valid 2013-05-30 7937
7938 Øster Starup Quick edit Valid 2013-05-30 7938
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?