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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 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
4326317 4326317 Quick edit Valid 2013-06-05 4326317
4326361 4326361 Quick edit Valid 2013-06-05 4326361
4326402 4326402 Quick edit Valid 2013-06-05 4326402
4326405 4326405 Quick edit Valid 2013-06-05 4326405
4326410 4326410 Quick edit Valid 2013-06-05 4326410
4326412 4326412 Quick edit Valid 2013-06-05 4326412
4326414 4326414 Quick edit Valid 2013-06-05 4326414
4326418 4326418 Quick edit Valid 2013-06-05 4326418
4326562 4326562 Quick edit Valid 2013-06-05 4326562
4326604 4326604 Quick edit Valid 2013-06-05 4326604
4326606 4326606 Quick edit Valid 2013-06-05 4326606
4326607 4326607 Quick edit Valid 2013-06-05 4326607
4326611 4326611 Quick edit Valid 2013-06-05 4326611
4326663 4326663 Quick edit Valid 2013-06-05 4326663
5020101 5020101 Quick edit Valid 2013-06-05 5020101
5020105 5020105 Quick edit Valid 2013-06-05 5020105
5020106 5020106 Quick edit Valid 2013-06-05 5020106
5020107 5020107 Quick edit Valid 2013-06-05 5020107
5020110 5020110 Quick edit Valid 2013-06-05 5020110
5020112 5020112 Quick edit Valid 2013-06-05 5020112
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?