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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 961 to 980.First4546474849505152Last
Id Label Status Status Modified Notation
096775623 096775623 Quick edit Valid 2013-06-05 096775623
096775624 096775624 Quick edit Valid 2013-06-05 096775624
096775625 096775625 Quick edit Valid 2013-06-05 096775625
096775656 096775656 Quick edit Valid 2013-06-05 096775656
096779444 096779444 Quick edit Valid 2013-06-05 096779444
096785642 096785642 Quick edit Valid 2013-06-05 096785642
096785643 096785643 Quick edit Valid 2013-06-05 096785643
096789444 096789444 Quick edit Valid 2013-06-05 096789444
096795644 096795644 Quick edit Valid 2013-06-05 096795644
096795645 096795645 Quick edit Valid 2013-06-05 096795645
096795646 096795646 Quick edit Valid 2013-06-05 096795646
096795647 096795647 Quick edit Valid 2013-06-05 096795647
096795648 096795648 Quick edit Valid 2013-06-05 096795648
096795649 096795649 Quick edit Valid 2013-06-05 096795649
096795650 096795650 Quick edit Valid 2013-06-05 096795650
096795651 096795651 Quick edit Valid 2013-06-05 096795651
096795652 096795652 Quick edit Valid 2013-06-05 096795652
096795654 096795654 Quick edit Valid 2013-06-05 096795654
096795655 096795655 Quick edit Valid 2013-06-05 096795655
096799444 096799444 Quick edit Valid 2013-06-05 096799444
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?