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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 421 to 440.First1819202122232425Last
Id Label Status Status Modified Notation
081155003 081155003 Quick edit Valid 2013-06-05 081155003
081155004 081155004 Quick edit Valid 2013-06-05 081155004
081155005 081155005 Quick edit Valid 2013-06-05 081155005
081155006 081155006 Quick edit Valid 2013-06-05 081155006
081165001 081165001 Quick edit Valid 2013-06-05 081165001
081165002 081165002 Quick edit Valid 2013-06-05 081165002
081165003 081165003 Quick edit Valid 2013-06-05 081165003
081165004 081165004 Quick edit Valid 2013-06-05 081165004
081165005 081165005 Quick edit Valid 2013-06-05 081165005
081165006 081165006 Quick edit Valid 2013-06-05 081165006
081165007 081165007 Quick edit Valid 2013-06-05 081165007
081165008 081165008 Quick edit Valid 2013-06-05 081165008
081165009 081165009 Quick edit Valid 2013-06-05 081165009
081175001 081175001 Quick edit Valid 2013-06-05 081175001
081175002 081175002 Quick edit Valid 2013-06-05 081175002
081175003 081175003 Quick edit Valid 2013-06-05 081175003
081175004 081175004 Quick edit Valid 2013-06-05 081175004
081175005 081175005 Quick edit Valid 2013-06-05 081175005
081175006 081175006 Quick edit Valid 2013-06-05 081175006
081175007 081175007 Quick edit Valid 2013-06-05 081175007
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?