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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 1,141 to 1,160.First5455565758596061Last
Id Label Status Status Modified Notation
02739 Terny-Sorny Quick edit Valid 2013-05-30 02739
02740 Thenailles Quick edit Valid 2013-05-30 02740
02741 Thenelles Quick edit Valid 2013-05-30 02741
02742 Thiernu Quick edit Valid 2013-05-30 02742
02743 Le Thuel Quick edit Valid 2013-05-30 02743
02744 Torcy-en-Valois Quick edit Valid 2013-05-30 02744
02745 Toulis-et-Attencourt Quick edit Valid 2013-05-30 02745
02746 Travecy Quick edit Valid 2013-05-30 02746
02747 Trefcon Quick edit Valid 2013-05-30 02747
02748 Trélou-sur-Marne Quick edit Valid 2013-05-30 02748
02749 Troësnes Quick edit Valid 2013-05-30 02749
02750 Trosly-Loire Quick edit Valid 2013-05-30 02750
02751 Trucy Quick edit Valid 2013-05-30 02751
02752 Tugny-et-Pont Quick edit Valid 2013-05-30 02752
02753 Tupigny Quick edit Valid 2013-05-30 02753
02754 Ugny-le-Gay Quick edit Valid 2013-05-30 02754
02755 Urcel Quick edit Valid 2013-05-30 02755
02756 Urvillers Quick edit Valid 2013-05-30 02756
02757 Vadencourt Quick edit Valid 2013-05-30 02757
02758 Vailly-sur-Aisne Quick edit Valid 2013-05-30 02758
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?