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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 1,061 to 1,080.First5051525354555657Last
Id Label Status Status Modified Notation
02657 Rougeries Quick edit Valid 2013-05-30 02657
02658 Roupy Quick edit Valid 2013-05-30 02658
02659 Rouvroy Quick edit Valid 2013-05-30 02659
02660 Rouvroy-sur-Serre Quick edit Valid 2013-05-30 02660
02661 Royaucourt-et-Chailvet Quick edit Valid 2013-05-30 02661
02662 Rozet-Saint-Albin Quick edit Valid 2013-05-30 02662
02663 Rozières-sur-Crise Quick edit Valid 2013-05-30 02663
02664 Rozoy-Bellevalle Quick edit Valid 2013-05-30 02664
02665 Grand-Rozoy Quick edit Valid 2013-05-30 02665
02666 Rozoy-sur-Serre Quick edit Valid 2013-05-30 02666
02667 Saconin-et-Breuil Quick edit Valid 2013-05-30 02667
02668 Sains-Richaumont Quick edit Valid 2013-05-30 02668
02669 Saint-Agnan Quick edit Valid 2013-05-30 02669
02670 Saint-Algis Quick edit Valid 2013-05-30 02670
02671 Saint-Aubin Quick edit Valid 2013-05-30 02671
02672 Saint-Bandry Quick edit Valid 2013-05-30 02672
02673 Saint-Christophe-à-Berry Quick edit Valid 2013-05-30 02673
02674 Saint-Clément Quick edit Valid 2013-05-30 02674
02675 Sainte-Croix Quick edit Valid 2013-05-30 02675
02676 Saint-Erme-Outre-et-Ramecourt Quick edit Valid 2013-05-30 02676
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?