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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 3,301 to 3,320.First162163164165166167168169Last
Id Label Status Status Modified Notation
10075 Champfleury Quick edit Valid 2013-05-30 10075
10076 Champignol-lez-Mondeville Quick edit Valid 2013-05-30 10076
10077 Champigny-sur-Aube Quick edit Valid 2013-05-30 10077
10078 Champ-sur-Barse Quick edit Valid 2013-05-30 10078
10079 Channes Quick edit Valid 2013-05-30 10079
10080 Chaource Quick edit Valid 2013-05-30 10080
10081 La Chapelle-Saint-Luc Quick edit Valid 2013-05-30 10081
10082 Chapelle-Vallon Quick edit Valid 2013-05-30 10082
10083 Chappes Quick edit Valid 2013-05-30 10083
10084 Charmont-sous-Barbuise Quick edit Valid 2013-05-30 10084
10085 Charmoy Quick edit Valid 2013-05-30 10085
10086 Charny-le-Bachot Quick edit Valid 2013-05-30 10086
10087 Chaserey Quick edit Valid 2013-05-30 10087
10089 Châtres Quick edit Valid 2013-05-30 10089
10090 Chauchigny Quick edit Valid 2013-05-30 10090
10091 Chaudrey Quick edit Valid 2013-05-30 10091
10092 Chauffour-lès-Bailly Quick edit Valid 2013-05-30 10092
10093 Chaumesnil Quick edit Valid 2013-05-30 10093
10094 Chavanges Quick edit Valid 2013-05-30 10094
10095 Le Chêne Quick edit Valid 2013-05-30 10095
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?