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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 33,121 to 33,140.First1,6531,6541,6551,6561,6571,6581,6591,660Last
Id Label Status Status Modified Notation
80524 Méharicourt Quick edit Valid 2013-05-30 80524
80525 Meigneux Quick edit Valid 2013-05-30 80525
80526 Le Meillard Quick edit Valid 2013-05-30 80526
80527 Méneslies Quick edit Valid 2013-05-30 80527
80528 Méréaucourt Quick edit Valid 2013-05-30 80528
80529 Mérélessart Quick edit Valid 2013-05-30 80529
80530 Méricourt-l'Abbé Quick edit Valid 2013-05-30 80530
80531 Méricourt-en-Vimeu Quick edit Valid 2013-05-30 80531
80532 Méricourt-sur-Somme Quick edit Valid 2013-05-30 80532
80533 Mers-les-Bains Quick edit Valid 2013-05-30 80533
80535 Le Mesge Quick edit Valid 2013-05-30 80535
80536 Mesnil-Bruntel Quick edit Valid 2013-05-30 80536
80537 Mesnil-Domqueur Quick edit Valid 2013-05-30 80537
80538 Mesnil-en-Arrouaise Quick edit Valid 2013-05-30 80538
80540 Mesnil-Martinsart Quick edit Valid 2013-05-30 80540
80541 Mesnil-Saint-Georges Quick edit Valid 2013-05-30 80541
80542 Mesnil-Saint-Nicaise Quick edit Valid 2013-05-30 80542
80543 Métigny Quick edit Valid 2013-05-30 80543
80544 Mézerolles Quick edit Valid 2013-05-30 80544
80545 Mézières-en-Santerre Quick edit Valid 2013-05-30 80545
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?