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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 1,861 to 1,880.First9091929394959697Last
Id Label Status Status Modified Notation
8905 Vor Frelsers * Quick edit Valid 2013-05-30 8905
8906 Zions * Quick edit Valid 2013-05-30 8906
8907 Treenigheds * Quick edit Valid 2013-05-30 8907
8908 Jerne * Quick edit Valid 2013-05-30 8908
8909 Skads Quick edit Valid 2013-05-30 8909
8910 Øse Quick edit Valid 2013-05-30 8910
8911 Næsbjerg Quick edit Valid 2013-05-30 8911
8912 Grimstrup (delsogn) Quick edit Valid 2013-05-30 8912
8913 Vester Nykirke Quick edit Valid 2013-05-30 8913
8914 Fåborg Quick edit Valid 2013-05-30 8914
8915 Årre Quick edit Valid 2013-05-30 8915
8916 Sneum Quick edit Valid 2013-05-30 8916
8917 Tjæreborg Quick edit Valid 2013-05-30 8917
8918 Bryndum Quick edit Valid 2013-05-30 8918
8919 Vester Nebel Quick edit Valid 2013-05-30 8919
8920 Alslev Quick edit Valid 2013-05-30 8920
8921 Hostrup Quick edit Valid 2013-05-30 8921
8922 Guldager Quick edit Valid 2013-05-30 8922
8923 Nordby Quick edit Valid 2013-05-30 8923
8924 Sønderho Quick edit Valid 2013-05-30 8924
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?