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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 3,461 to 3,480.First170171172173174175176177Last
Id Label Status Status Modified Notation
10237 Mesnil-Saint-Loup Quick edit Valid 2013-05-30 10237
10238 Mesnil-Saint-Père Quick edit Valid 2013-05-30 10238
10239 Mesnil-Sellières Quick edit Valid 2013-05-30 10239
10240 Messon Quick edit Valid 2013-05-30 10240
10241 Metz-Robert Quick edit Valid 2013-05-30 10241
10242 Meurville Quick edit Valid 2013-05-30 10242
10243 Molins-sur-Aube Quick edit Valid 2013-05-30 10243
10245 Montaulin Quick edit Valid 2013-05-30 10245
10246 Montceaux-lès-Vaudes Quick edit Valid 2013-05-30 10246
10247 Montfey Quick edit Valid 2013-05-30 10247
10248 Montgueux Quick edit Valid 2013-05-30 10248
10249 Montiéramey Quick edit Valid 2013-05-30 10249
10250 Montier-en-l'Isle Quick edit Valid 2013-05-30 10250
10251 Montigny-les-Monts Quick edit Valid 2013-05-30 10251
10252 Montmartin-le-Haut Quick edit Valid 2013-05-30 10252
10253 Montmorency-Beaufort Quick edit Valid 2013-05-30 10253
10254 Montpothier Quick edit Valid 2013-05-30 10254
10255 Montreuil-sur-Barse Quick edit Valid 2013-05-30 10255
10256 Montsuzain Quick edit Valid 2013-05-30 10256
10257 Morembert Quick edit Valid 2013-05-30 10257
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?