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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 35,581 to 35,600.First1,7761,7771,7781,7791,7801,7811,7821,783Last
Id Label Status Status Modified Notation
89075 Champlay Quick edit Valid 2013-05-30 89075
89076 Champlost Quick edit Valid 2013-05-30 89076
89077 Champs-sur-Yonne Quick edit Valid 2013-05-30 89077
89078 Champvallon Quick edit Valid 2013-05-30 89078
89079 Chamvres Quick edit Valid 2013-05-30 89079
89080 La Chapelle-sur-Oreuse Quick edit Valid 2013-05-30 89080
89081 La Chapelle-Vaupelteigne Quick edit Valid 2013-05-30 89081
89083 Charbuy Quick edit Valid 2013-05-30 89083
89084 Charentenay Quick edit Valid 2013-05-30 89084
89085 Charmoy Quick edit Valid 2013-05-30 89085
89086 Charny Quick edit Valid 2013-05-30 89086
89087 Chassignelles Quick edit Valid 2013-05-30 89087
89088 Chassy Quick edit Valid 2013-05-30 89088
89089 Chastellux-sur-Cure Quick edit Valid 2013-05-30 89089
89091 Châtel-Censoir Quick edit Valid 2013-05-30 89091
89092 Châtel-Gérard Quick edit Valid 2013-05-30 89092
89093 Chaumont Quick edit Valid 2013-05-30 89093
89094 Chaumot Quick edit Valid 2013-05-30 89094
89095 Chemilly-sur-Serein Quick edit Valid 2013-05-30 89095
89096 Chemilly-sur-Yonne Quick edit Valid 2013-05-30 89096
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?