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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 35,281 to 35,300.First1,7611,7621,7631,7641,7651,7661,7671,768Last
Id Label Status Status Modified Notation
88294 Mazeley Quick edit Valid 2013-05-30 88294
88295 Mazirot Quick edit Valid 2013-05-30 88295
88296 Médonville Quick edit Valid 2013-05-30 88296
88297 Méménil Quick edit Valid 2013-05-30 88297
88298 Ménarmont Quick edit Valid 2013-05-30 88298
88299 Ménil-en-Xaintois Quick edit Valid 2013-05-30 88299
88300 Ménil-de-Senones Quick edit Valid 2013-05-30 88300
88301 Ménil-sur-Belvitte Quick edit Valid 2013-05-30 88301
88302 Le Ménil Quick edit Valid 2013-05-30 88302
88303 Midrevaux Quick edit Valid 2013-05-30 88303
88304 Mirecourt Quick edit Valid 2013-05-30 88304
88305 Moncel-sur-Vair Quick edit Valid 2013-05-30 88305
88306 Le Mont Quick edit Valid 2013-05-30 88306
88307 Mont-lès-Lamarche Quick edit Valid 2013-05-30 88307
88308 Mont-lès-Neufchâteau Quick edit Valid 2013-05-30 88308
88309 Monthureux-le-Sec Quick edit Valid 2013-05-30 88309
88310 Monthureux-sur-Saône Quick edit Valid 2013-05-30 88310
88311 Montmotier Quick edit Valid 2013-05-30 88311
88312 Morelmaison Quick edit Valid 2013-05-30 88312
88313 Moriville Quick edit Valid 2013-05-30 88313
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?