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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 32,661 to 32,680.First1,6301,6311,6321,6331,6341,6351,6361,637Last
Id Label Status Status Modified Notation
80037 Aubvillers Quick edit Valid 2013-05-30 80037
80038 Auchonvillers Quick edit Valid 2013-05-30 80038
80039 Ault Quick edit Valid 2013-05-30 80039
80040 Aumâtre Quick edit Valid 2013-05-30 80040
80041 Aumont Quick edit Valid 2013-05-30 80041
80042 Autheux Quick edit Valid 2013-05-30 80042
80043 Authie Quick edit Valid 2013-05-30 80043
80044 Authieule Quick edit Valid 2013-05-30 80044
80045 Authuille Quick edit Valid 2013-05-30 80045
80046 Avelesges Quick edit Valid 2013-05-30 80046
80047 Aveluy Quick edit Valid 2013-05-30 80047
80048 Avesnes-Chaussoy Quick edit Valid 2013-05-30 80048
80049 Ayencourt Quick edit Valid 2013-05-30 80049
80050 Bacouel-sur-Selle Quick edit Valid 2013-05-30 80050
80051 Bailleul Quick edit Valid 2013-05-30 80051
80052 Baizieux Quick edit Valid 2013-05-30 80052
80053 Balâtre Quick edit Valid 2013-05-30 80053
80054 Barleux Quick edit Valid 2013-05-30 80054
80055 Barly Quick edit Valid 2013-05-30 80055
80056 Bavelincourt Quick edit Valid 2013-05-30 80056
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?