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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 3,481 to 3,500.First171172173174175176177178Last
Id Label Status Status Modified Notation
10258 Morvilliers Quick edit Valid 2013-05-30 10258
10259 La Motte-Tilly Quick edit Valid 2013-05-30 10259
10260 Moussey Quick edit Valid 2013-05-30 10260
10261 Mussy-sur-Seine Quick edit Valid 2013-05-30 10261
10262 Neuville-sur-Seine Quick edit Valid 2013-05-30 10262
10263 Neuville-sur-Vannes Quick edit Valid 2013-05-30 10263
10264 Noë-les-Mallets Quick edit Valid 2013-05-30 10264
10265 Les Noës-près-Troyes Quick edit Valid 2013-05-30 10265
10266 Nogent-en-Othe Quick edit Valid 2013-05-30 10266
10267 Nogent-sur-Aube Quick edit Valid 2013-05-30 10267
10268 Nogent-sur-Seine Quick edit Valid 2013-05-30 10268
10269 Nozay Quick edit Valid 2013-05-30 10269
10270 Onjon Quick edit Valid 2013-05-30 10270
10271 Origny-le-Sec Quick edit Valid 2013-05-30 10271
10272 Ormes Quick edit Valid 2013-05-30 10272
10273 Ortillon Quick edit Valid 2013-05-30 10273
10274 Orvilliers-Saint-Julien Quick edit Valid 2013-05-30 10274
10275 Ossey-les-Trois-Maisons Quick edit Valid 2013-05-30 10275
10276 Paisy-Cosdon Quick edit Valid 2013-05-30 10276
10277 Palis Quick edit Valid 2013-05-30 10277
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?