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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

174 concepts found, displaying 41 to 60.First12345678Last
Id Label Status Status Modified Notation
3513 3513 Quick edit Valid 2013-06-05 3513
3514 3514 Quick edit Valid 2013-06-05 3514
3515 3515 Quick edit Valid 2013-06-05 3515
3601 3601 Quick edit Valid 2013-06-05 3601
3602 3602 Quick edit Valid 2013-06-05 3602
3603 3603 Quick edit Valid 2013-06-05 3603
3604 3604 Quick edit Valid 2013-06-05 3604
3605 3605 Quick edit Valid 2013-06-05 3605
3606 3606 Quick edit Valid 2013-06-05 3606
3607 3607 Quick edit Valid 2013-06-05 3607
3701 3701 Quick edit Valid 2013-06-05 3701
3702 3702 Quick edit Valid 2013-06-05 3702
3703 3703 Quick edit Valid 2013-06-05 3703
3704 3704 Quick edit Valid 2013-06-05 3704
3705 3705 Quick edit Valid 2013-06-05 3705
3706 3706 Quick edit Valid 2013-06-05 3706
3707 3707 Quick edit Valid 2013-06-05 3707
3708 3708 Quick edit Valid 2013-06-05 3708
3709 3709 Quick edit Valid 2013-06-05 3709
3710 3710 Quick edit Valid 2013-06-05 3710
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?