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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 3,741 to 3,760.First184185186187188189190191Last
Id Label Status Status Modified Notation
11079 Caudebronde Quick edit Valid 2013-05-30 11079
11080 Caudeval Quick edit Valid 2013-05-30 11080
11081 Caunes-Minervois Quick edit Valid 2013-05-30 11081
11082 Caunette-sur-Lauquet Quick edit Valid 2013-05-30 11082
11083 Caunettes-en-Val Quick edit Valid 2013-05-30 11083
11084 Caux-et-Sauzens Quick edit Valid 2013-05-30 11084
11085 Cavanac Quick edit Valid 2013-05-30 11085
11086 Caves Quick edit Valid 2013-05-30 11086
11087 Cazalrenoux Quick edit Valid 2013-05-30 11087
11088 Cazilhac Quick edit Valid 2013-05-30 11088
11089 Cenne-Monestiés Quick edit Valid 2013-05-30 11089
11090 Cépie Quick edit Valid 2013-05-30 11090
11091 Chalabre Quick edit Valid 2013-05-30 11091
11092 Citou Quick edit Valid 2013-05-30 11092
11093 Le Clat Quick edit Valid 2013-05-30 11093
11094 Clermont-sur-Lauquet Quick edit Valid 2013-05-30 11094
11095 Comigne Quick edit Valid 2013-05-30 11095
11096 Comus Quick edit Valid 2013-05-30 11096
11097 Conilhac-de-la-Montagne Quick edit Valid 2013-05-30 11097
11098 Conilhac-Corbières Quick edit Valid 2013-05-30 11098
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?