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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 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
071405002 071405002 Quick edit Valid 2013-06-05 071405002
071405003 071405003 Quick edit Valid 2013-06-05 071405003
071405004 071405004 Quick edit Valid 2013-06-05 071405004
071405005 071405005 Quick edit Valid 2013-06-05 071405005
071405006 071405006 Quick edit Valid 2013-06-05 071405006
071405007 071405007 Quick edit Valid 2013-06-05 071405007
071415001 071415001 Quick edit Valid 2013-06-05 071415001
071415002 071415002 Quick edit Valid 2013-06-05 071415002
071415003 071415003 Quick edit Valid 2013-06-05 071415003
071415004 071415004 Quick edit Valid 2013-06-05 071415004
071415005 071415005 Quick edit Valid 2013-06-05 071415005
071415006 071415006 Quick edit Valid 2013-06-05 071415006
071415007 071415007 Quick edit Valid 2013-06-05 071415007
071415008 071415008 Quick edit Valid 2013-06-05 071415008
071435001 071435001 Quick edit Valid 2013-06-05 071435001
071435002 071435002 Quick edit Valid 2013-06-05 071435002
071435003 071435003 Quick edit Valid 2013-06-05 071435003
071435004 071435004 Quick edit Valid 2013-06-05 071435004
071435005 071435005 Quick edit Valid 2013-06-05 071435005
071435006 071435006 Quick edit Valid 2013-06-05 071435006
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?