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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 35,421 to 35,440.First1,7681,7691,7701,7711,7721,7731,7741,775Last
Id Label Status Status Modified Notation
88444 Le Saulcy Quick edit Valid 2013-05-30 88444
88445 Saulcy-sur-Meurthe Quick edit Valid 2013-05-30 88445
88446 Saulxures-lès-Bulgnéville Quick edit Valid 2013-05-30 88446
88447 Saulxures-sur-Moselotte Quick edit Valid 2013-05-30 88447
88448 Sauville Quick edit Valid 2013-05-30 88448
88449 Savigny Quick edit Valid 2013-05-30 88449
88450 Senaide Quick edit Valid 2013-05-30 88450
88451 Senones Quick edit Valid 2013-05-30 88451
88452 Senonges Quick edit Valid 2013-05-30 88452
88453 Seraumont Quick edit Valid 2013-05-30 88453
88454 Sercoeur Quick edit Valid 2013-05-30 88454
88455 Serécourt Quick edit Valid 2013-05-30 88455
88456 Serocourt Quick edit Valid 2013-05-30 88456
88457 Sionne Quick edit Valid 2013-05-30 88457
88458 Socourt Quick edit Valid 2013-05-30 88458
88459 Soncourt Quick edit Valid 2013-05-30 88459
88460 Soulosse-sous-Saint-Élophe Quick edit Valid 2013-05-30 88460
88461 Suriauville Quick edit Valid 2013-05-30 88461
88462 Le Syndicat Quick edit Valid 2013-05-30 88462
88463 Taintrux Quick edit Valid 2013-05-30 88463
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?