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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 34,821 to 34,840.First1,7381,7391,7401,7411,7421,7431,7441,745Last
Id Label Status Status Modified Notation
87029 Les Cars Quick edit Valid 2013-05-30 87029
87030 Chaillac-sur-Vienne Quick edit Valid 2013-05-30 87030
87031 Le Chalard Quick edit Valid 2013-05-30 87031
87032 Châlus Quick edit Valid 2013-05-30 87032
87033 Chamboret Quick edit Valid 2013-05-30 87033
87034 Champagnac-la-Rivière Quick edit Valid 2013-05-30 87034
87035 Champnétery Quick edit Valid 2013-05-30 87035
87036 Champsac Quick edit Valid 2013-05-30 87036
87037 La Chapelle-Montbrandeix Quick edit Valid 2013-05-30 87037
87038 Chaptelat Quick edit Valid 2013-05-30 87038
87039 Château-Chervix Quick edit Valid 2013-05-30 87039
87040 Châteauneuf-la-Forêt Quick edit Valid 2013-05-30 87040
87041 Châteauponsac Quick edit Valid 2013-05-30 87041
87042 Le Châtenet-en-Dognon Quick edit Valid 2013-05-30 87042
87043 Cheissoux Quick edit Valid 2013-05-30 87043
87044 Chéronnac Quick edit Valid 2013-05-30 87044
87045 Cieux Quick edit Valid 2013-05-30 87045
87046 Cognac-la-Forêt Quick edit Valid 2013-05-30 87046
87047 Compreignac Quick edit Valid 2013-05-30 87047
87048 Condat-sur-Vienne Quick edit Valid 2013-05-30 87048
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?