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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 981 to 1,000.First4647484950515253Last
Id Label Status Status Modified Notation
02574 Origny-en-Thiérache Quick edit Valid 2013-05-30 02574
02575 Origny-Sainte-Benoite Quick edit Valid 2013-05-30 02575
02576 Osly-Courtil Quick edit Valid 2013-05-30 02576
02577 Ostel Quick edit Valid 2013-05-30 02577
02578 Oulches-la-Vallée-Foulon Quick edit Valid 2013-05-30 02578
02579 Oulchy-la-Ville Quick edit Valid 2013-05-30 02579
02580 Oulchy-le-Château Quick edit Valid 2013-05-30 02580
02581 Paars Quick edit Valid 2013-05-30 02581
02582 Paissy Quick edit Valid 2013-05-30 02582
02583 Pancy-Courtecon Quick edit Valid 2013-05-30 02583
02584 Papleux Quick edit Valid 2013-05-30 02584
02585 Parcy-et-Tigny Quick edit Valid 2013-05-30 02585
02586 Parfondeval Quick edit Valid 2013-05-30 02586
02587 Parfondru Quick edit Valid 2013-05-30 02587
02588 Pargnan Quick edit Valid 2013-05-30 02588
02589 Pargny-Filain Quick edit Valid 2013-05-30 02589
02590 Pargny-la-Dhuys Quick edit Valid 2013-05-30 02590
02591 Pargny-les-Bois Quick edit Valid 2013-05-30 02591
02592 Parpeville Quick edit Valid 2013-05-30 02592
02593 Pasly Quick edit Valid 2013-05-30 02593
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?