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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 481 to 500.First2122232425262728Last
Id Label Status Status Modified Notation
02063 Bellenglise Quick edit Valid 2013-05-30 02063
02064 Belleu Quick edit Valid 2013-05-30 02064
02065 Bellicourt Quick edit Valid 2013-05-30 02065
02066 Benay Quick edit Valid 2013-05-30 02066
02067 Bergues-sur-Sambre Quick edit Valid 2013-05-30 02067
02068 Berlancourt Quick edit Valid 2013-05-30 02068
02069 Berlise Quick edit Valid 2013-05-30 02069
02070 Bernot Quick edit Valid 2013-05-30 02070
02071 Berny-Rivière Quick edit Valid 2013-05-30 02071
02072 Berrieux Quick edit Valid 2013-05-30 02072
02073 Berry-au-Bac Quick edit Valid 2013-05-30 02073
02074 Bertaucourt-Epourdon Quick edit Valid 2013-05-30 02074
02075 Berthenicourt Quick edit Valid 2013-05-30 02075
02076 Bertricourt Quick edit Valid 2013-05-30 02076
02077 Berzy-le-Sec Quick edit Valid 2013-05-30 02077
02078 Besmé Quick edit Valid 2013-05-30 02078
02079 Besmont Quick edit Valid 2013-05-30 02079
02080 Besny-et-Loizy Quick edit Valid 2013-05-30 02080
02081 Béthancourt-en-Vaux Quick edit Valid 2013-05-30 02081
02082 Beugneux Quick edit Valid 2013-05-30 02082
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?