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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 35,261 to 35,280.First1,7601,7611,7621,7631,7641,7651,7661,767Last
Id Label Status Status Modified Notation
88274 Longchamp-sous-Châtenois Quick edit Valid 2013-05-30 88274
88275 Lubine Quick edit Valid 2013-05-30 88275
88276 Lusse Quick edit Valid 2013-05-30 88276
88277 Luvigny Quick edit Valid 2013-05-30 88277
88278 Maconcourt Quick edit Valid 2013-05-30 88278
88279 Madecourt Quick edit Valid 2013-05-30 88279
88280 Madegney Quick edit Valid 2013-05-30 88280
88281 Madonne-et-Lamerey Quick edit Valid 2013-05-30 88281
88282 Le Magny Quick edit Valid 2013-05-30 88282
88283 Malaincourt Quick edit Valid 2013-05-30 88283
88284 Mandray Quick edit Valid 2013-05-30 88284
88285 Mandres-sur-Vair Quick edit Valid 2013-05-30 88285
88286 Marainville-sur-Madon Quick edit Valid 2013-05-30 88286
88287 Marey Quick edit Valid 2013-05-30 88287
88288 Maroncourt Quick edit Valid 2013-05-30 88288
88289 Martigny-les-Bains Quick edit Valid 2013-05-30 88289
88290 Martigny-les-Gerbonvaux Quick edit Valid 2013-05-30 88290
88291 Martinvelle Quick edit Valid 2013-05-30 88291
88292 Mattaincourt Quick edit Valid 2013-05-30 88292
88293 Maxey-sur-Meuse Quick edit Valid 2013-05-30 88293
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?