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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 3,441 to 3,460.First169170171172173174175176Last
Id Label Status Status Modified Notation
10217 Maison-des-Champs Quick edit Valid 2013-05-30 10217
10218 Maisons-lès-Chaource Quick edit Valid 2013-05-30 10218
10219 Maisons-lès-Soulaines Quick edit Valid 2013-05-30 10219
10220 Maizières-la-Grande-Paroisse Quick edit Valid 2013-05-30 10220
10221 Maizières-lès-Brienne Quick edit Valid 2013-05-30 10221
10222 Maraye-en-Othe Quick edit Valid 2013-05-30 10222
10223 Marcilly-le-Hayer Quick edit Valid 2013-05-30 10223
10224 Marigny-le-Châtel Quick edit Valid 2013-05-30 10224
10225 Marnay-sur-Seine Quick edit Valid 2013-05-30 10225
10226 Marolles-lès-Bailly Quick edit Valid 2013-05-30 10226
10227 Marolles-sous-Lignières Quick edit Valid 2013-05-30 10227
10228 Mathaux Quick edit Valid 2013-05-30 10228
10229 Maupas Quick edit Valid 2013-05-30 10229
10230 Mergey Quick edit Valid 2013-05-30 10230
10231 Le Mériot Quick edit Valid 2013-05-30 10231
10232 Merrey-sur-Arce Quick edit Valid 2013-05-30 10232
10233 Méry-sur-Seine Quick edit Valid 2013-05-30 10233
10234 Mesgrigny Quick edit Valid 2013-05-30 10234
10235 Mesnil-la-Comtesse Quick edit Valid 2013-05-30 10235
10236 Mesnil-Lettre Quick edit Valid 2013-05-30 10236
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?