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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 33,201 to 33,220.First1,6571,6581,6591,6601,6611,6621,6631,664Last
Id Label Status Status Modified Notation
80609 Oneux Quick edit Valid 2013-05-30 80609
80611 Oresmaux Quick edit Valid 2013-05-30 80611
80613 Oust-Marest Quick edit Valid 2013-05-30 80613
80614 Outrebois Quick edit Valid 2013-05-30 80614
80615 Ovillers-la-Boisselle Quick edit Valid 2013-05-30 80615
80616 Pargny Quick edit Valid 2013-05-30 80616
80617 Parvillers-le-Quesnoy Quick edit Valid 2013-05-30 80617
80618 Pendé Quick edit Valid 2013-05-30 80618
80619 Pernois Quick edit Valid 2013-05-30 80619
80620 Péronne Quick edit Valid 2013-05-30 80620
80621 Pertain Quick edit Valid 2013-05-30 80621
80622 Picquigny Quick edit Valid 2013-05-30 80622
80623 Piennes-Onvillers Quick edit Valid 2013-05-30 80623
80624 Pierregot Quick edit Valid 2013-05-30 80624
80625 Pierrepont-sur-Avre Quick edit Valid 2013-05-30 80625
80626 Pissy Quick edit Valid 2013-05-30 80626
80627 Plachy-Buyon Quick edit Valid 2013-05-30 80627
80628 Le Plessier-Rozainvillers Quick edit Valid 2013-05-30 80628
80629 Poeuilly Quick edit Valid 2013-05-30 80629
80630 Poix-de-Picardie Quick edit Valid 2013-05-30 80630
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?