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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

379 concepts found, displaying 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
5020422 5020422 Quick edit Valid 2013-06-05 5020422
5020423 5020423 Quick edit Valid 2013-06-05 5020423
5020564 5020564 Quick edit Valid 2013-06-05 5020564
5163101 5163101 Quick edit Valid 2013-06-05 5163101
5163104 5163104 Quick edit Valid 2013-06-05 5163104
5163106 5163106 Quick edit Valid 2013-06-05 5163106
5163107 5163107 Quick edit Valid 2013-06-05 5163107
5163110 5163110 Quick edit Valid 2013-06-05 5163110
5163202 5163202 Quick edit Valid 2013-06-05 5163202
5163203 5163203 Quick edit Valid 2013-06-05 5163203
5163205 5163205 Quick edit Valid 2013-06-05 5163205
5163208 5163208 Quick edit Valid 2013-06-05 5163208
5163209 5163209 Quick edit Valid 2013-06-05 5163209
5163211 5163211 Quick edit Valid 2013-06-05 5163211
5163261 5163261 Quick edit Valid 2013-06-05 5163261
6040603 6040603 Quick edit Valid 2013-06-05 6040603
6040615 6040615 Quick edit Valid 2013-06-05 6040615
6040661 6040661 Quick edit Valid 2013-06-05 6040661
6040663 6040663 Quick edit Valid 2013-06-05 6040663
6040702 6040702 Quick edit Valid 2013-06-05 6040702
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?