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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 1,201 to 1,220.First5758596061626364Last
Id Label Status Status Modified Notation
150855099 150855099 Quick edit Valid 2013-06-05 150855099
150865004 150865004 Quick edit Valid 2013-06-05 150865004
150875004 150875004 Quick edit Valid 2013-06-05 150875004
150875051 150875051 Quick edit Valid 2013-06-05 150875051
150875052 150875052 Quick edit Valid 2013-06-05 150875052
150875099 150875099 Quick edit Valid 2013-06-05 150875099
150885008 150885008 Quick edit Valid 2013-06-05 150885008
150885009 150885009 Quick edit Valid 2013-06-05 150885009
150885051 150885051 Quick edit Valid 2013-06-05 150885051
150885099 150885099 Quick edit Valid 2013-06-05 150885099
150895051 150895051 Quick edit Valid 2013-06-05 150895051
150895052 150895052 Quick edit Valid 2013-06-05 150895052
150895099 150895099 Quick edit Valid 2013-06-05 150895099
150905007 150905007 Quick edit Valid 2013-06-05 150905007
150905051 150905051 Quick edit Valid 2013-06-05 150905051
150905052 150905052 Quick edit Valid 2013-06-05 150905052
150905053 150905053 Quick edit Valid 2013-06-05 150905053
150905099 150905099 Quick edit Valid 2013-06-05 150905099
150915001 150915001 Quick edit Valid 2013-06-05 150915001
150915002 150915002 Quick edit Valid 2013-06-05 150915002
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?