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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

36,682 concepts found, displaying 33,141 to 33,160.First1,6541,6551,6561,6571,6581,6591,6601,661Last
Id Label Status Status Modified Notation
80546 Miannay Quick edit Valid 2013-05-30 80546
80547 Millencourt Quick edit Valid 2013-05-30 80547
80548 Millencourt-en-Ponthieu Quick edit Valid 2013-05-30 80548
80549 Miraumont Quick edit Valid 2013-05-30 80549
80550 Mirvaux Quick edit Valid 2013-05-30 80550
80551 Misery Quick edit Valid 2013-05-30 80551
80552 Moislains Quick edit Valid 2013-05-30 80552
80553 Molliens-au-Bois Quick edit Valid 2013-05-30 80553
80554 Molliens-Dreuil Quick edit Valid 2013-05-30 80554
80555 Monchy-Lagache Quick edit Valid 2013-05-30 80555
80556 Mons-Boubert Quick edit Valid 2013-05-30 80556
80557 Estrées-Mons Quick edit Valid 2013-05-30 80557
80558 Monsures Quick edit Valid 2013-05-30 80558
80559 Montagne-Fayel Quick edit Valid 2013-05-30 80559
80560 Montauban-de-Picardie Quick edit Valid 2013-05-30 80560
80561 Montdidier Quick edit Valid 2013-05-30 80561
80562 Montigny-sur-l'Hallue Quick edit Valid 2013-05-30 80562
80563 Montigny-les-Jongleurs Quick edit Valid 2013-05-30 80563
80565 Montonvillers Quick edit Valid 2013-05-30 80565
80566 Fieffes-Montrelet Quick edit Valid 2013-05-30 80566
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?