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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 35,201 to 35,220.First1,7571,7581,7591,7601,7611,7621,7631,764Last
Id Label Status Status Modified Notation
88213 La Grande-Fosse Quick edit Valid 2013-05-30 88213
88214 Grandrupt-de-Bains Quick edit Valid 2013-05-30 88214
88215 Grandrupt Quick edit Valid 2013-05-30 88215
88216 Grandvillers Quick edit Valid 2013-05-30 88216
88218 Granges-sur-Vologne Quick edit Valid 2013-05-30 88218
88219 Greux Quick edit Valid 2013-05-30 88219
88220 Grignoncourt Quick edit Valid 2013-05-30 88220
88221 Gruey-lès-Surance Quick edit Valid 2013-05-30 88221
88222 Gugnécourt Quick edit Valid 2013-05-30 88222
88223 Gugney-aux-Aulx Quick edit Valid 2013-05-30 88223
88224 Hadigny-les-Verrières Quick edit Valid 2013-05-30 88224
88225 Hadol Quick edit Valid 2013-05-30 88225
88226 Hagécourt Quick edit Valid 2013-05-30 88226
88227 Hagnéville-et-Roncourt Quick edit Valid 2013-05-30 88227
88228 Haillainville Quick edit Valid 2013-05-30 88228
88229 Harchéchamp Quick edit Valid 2013-05-30 88229
88230 Hardancourt Quick edit Valid 2013-05-30 88230
88231 Haréville Quick edit Valid 2013-05-30 88231
88232 Harmonville Quick edit Valid 2013-05-30 88232
88233 Harol Quick edit Valid 2013-05-30 88233
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?