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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 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
096739444 096739444 Quick edit Valid 2013-06-05 096739444
096745610 096745610 Quick edit Valid 2013-06-05 096745610
096745611 096745611 Quick edit Valid 2013-06-05 096745611
096745612 096745612 Quick edit Valid 2013-06-05 096745612
096745613 096745613 Quick edit Valid 2013-06-05 096745613
096755614 096755614 Quick edit Valid 2013-06-05 096755614
096755615 096755615 Quick edit Valid 2013-06-05 096755615
096755616 096755616 Quick edit Valid 2013-06-05 096755616
096755617 096755617 Quick edit Valid 2013-06-05 096755617
096755618 096755618 Quick edit Valid 2013-06-05 096755618
096755619 096755619 Quick edit Valid 2013-06-05 096755619
096765626 096765626 Quick edit Valid 2013-06-05 096765626
096765627 096765627 Quick edit Valid 2013-06-05 096765627
096765630 096765630 Quick edit Valid 2013-06-05 096765630
096765631 096765631 Quick edit Valid 2013-06-05 096765631
096765632 096765632 Quick edit Valid 2013-06-05 096765632
096769444 096769444 Quick edit Valid 2013-06-05 096769444
096775620 096775620 Quick edit Valid 2013-06-05 096775620
096775621 096775621 Quick edit Valid 2013-06-05 096775621
096775622 096775622 Quick edit Valid 2013-06-05 096775622
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?