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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 581 to 600.First2627282930313233Last
Id Label Status Status Modified Notation
02165 Charmes Quick edit Valid 2013-05-30 02165
02166 Chartèves Quick edit Valid 2013-05-30 02166
02167 Chassemy Quick edit Valid 2013-05-30 02167
02168 Château-Thierry Quick edit Valid 2013-05-30 02168
02169 Châtillon-lès-Sons Quick edit Valid 2013-05-30 02169
02170 Châtillon-sur-Oise Quick edit Valid 2013-05-30 02170
02171 Chaudardes Quick edit Valid 2013-05-30 02171
02172 Chaudun Quick edit Valid 2013-05-30 02172
02173 Chauny Quick edit Valid 2013-05-30 02173
02174 Chavignon Quick edit Valid 2013-05-30 02174
02175 Chavigny Quick edit Valid 2013-05-30 02175
02176 Chavonne Quick edit Valid 2013-05-30 02176
02177 Chérêt Quick edit Valid 2013-05-30 02177
02178 Chermizy-Ailles Quick edit Valid 2013-05-30 02178
02179 Chéry-Chartreuve Quick edit Valid 2013-05-30 02179
02180 Chéry-lès-Pouilly Quick edit Valid 2013-05-30 02180
02181 Chéry-lès-Rozoy Quick edit Valid 2013-05-30 02181
02182 Chevennes Quick edit Valid 2013-05-30 02182
02183 Chevregny Quick edit Valid 2013-05-30 02183
02184 Chevresis-Monceau Quick edit Valid 2013-05-30 02184
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?