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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
skos:narrowMatch 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

1,344 concepts found, displaying 701 to 720.First3233343536373839Last
Id Label Status Status Modified Notation
091745110 091745110 Quick edit Valid 2013-06-05 091745110
091755112 091755112 Quick edit Valid 2013-06-05 091755112
091755114 091755114 Quick edit Valid 2013-06-05 091755114
091759444 091759444 Quick edit Valid 2013-06-05 091759444
091765115 091765115 Quick edit Valid 2013-06-05 091765115
091765116 091765116 Quick edit Valid 2013-06-05 091765116
091765118 091765118 Quick edit Valid 2013-06-05 091765118
091765119 091765119 Quick edit Valid 2013-06-05 091765119
091769444 091769444 Quick edit Valid 2013-06-05 091769444
091775120 091775120 Quick edit Valid 2013-06-05 091775120
091775121 091775121 Quick edit Valid 2013-06-05 091775121
091775123 091775123 Quick edit Valid 2013-06-05 091775123
091775124 091775124 Quick edit Valid 2013-06-05 091775124
091775125 091775125 Quick edit Valid 2013-06-05 091775125
091775126 091775126 Quick edit Valid 2013-06-05 091775126
091785127 091785127 Quick edit Valid 2013-06-05 091785127
091785129 091785129 Quick edit Valid 2013-06-05 091785129
091785130 091785130 Quick edit Valid 2013-06-05 091785130
091795131 091795131 Quick edit Valid 2013-06-05 091795131
091795132 091795132 Quick edit Valid 2013-06-05 091795132
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?