You are here:
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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
FR107 Val-de-Marne Quick edit Valid 2013-09-25 FR107
FR108 Val-d'Oise Quick edit Valid 2013-09-25 FR108
FR2 Bassin Parisien (NUTS 2013) Quick edit Valid 2013-09-25 FR2
FR21 Champagne-Ardenne (NUTS 2013) Quick edit Valid 2013-09-25 FR21
FR211 Ardennes (NUTS 2013) Quick edit Valid 2013-09-25 FR211
FR212 Aube (NUTS 2013) Quick edit Valid 2013-09-25 FR212
FR213 Marne (NUTS 2013) Quick edit Valid 2013-09-25 FR213
FR214 Haute-Marne (NUTS 2013) Quick edit Valid 2013-09-25 FR214
FR22 Picardie (NUTS 2013) Quick edit Valid 2013-09-25 FR22
FR221 Aisne (NUTS 2013) Quick edit Valid 2013-09-25 FR221
FR222 Oise (NUTS 2013) Quick edit Valid 2013-09-25 FR222
FR223 Somme (NUTS 2013) Quick edit Valid 2013-09-25 FR223
FR23 Haute-Normandie (NUTS 2013) Quick edit Valid 2013-09-25 FR23
FR231 Eure (NUTS 2013) Quick edit Valid 2013-09-25 FR231
FR232 Seine-Maritime (NUTS 2013) Quick edit Valid 2013-09-25 FR232
FR24 Centre (FR) (NUTS 2013) Quick edit Valid 2013-09-25 FR24
FR241 Cher (NUTS 2013) Quick edit Valid 2013-09-25 FR241
FR242 Eure-et-Loir (NUTS 2013) Quick edit Valid 2013-09-25 FR242
FR243 Indre (NUTS 2013) Quick edit Valid 2013-09-25 FR243
FR244 Indre-et-Loire (NUTS 2013) Quick edit Valid 2013-09-25 FR244
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?