You are here:
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 35,501 to 35,520.First1,7721,7731,7741,7751,7761,7771,7781,779Last
Id Label Status Status Modified Notation
88524 Vrécourt Quick edit Valid 2013-05-30 88524
88525 Vroville Quick edit Valid 2013-05-30 88525
88526 Wisembach Quick edit Valid 2013-05-30 88526
88527 Xaffévillers Quick edit Valid 2013-05-30 88527
88528 Xamontarupt Quick edit Valid 2013-05-30 88528
88529 Xaronval Quick edit Valid 2013-05-30 88529
88530 Xertigny Quick edit Valid 2013-05-30 88530
88531 Xonrupt-Longemer Quick edit Valid 2013-05-30 88531
88532 Zincourt Quick edit Valid 2013-05-30 88532
89001 Accolay Quick edit Valid 2013-05-30 89001
89002 Aigremont Quick edit Valid 2013-05-30 89002
89003 Aillant-sur-Tholon Quick edit Valid 2013-05-30 89003
89004 Aisy-sur-Armançon Quick edit Valid 2013-05-30 89004
89005 Ancy-le-Franc Quick edit Valid 2013-05-30 89005
89006 Ancy-le-Libre Quick edit Valid 2013-05-30 89006
89007 Andryes Quick edit Valid 2013-05-30 89007
89008 Angely Quick edit Valid 2013-05-30 89008
89009 Annay-la-Côte Quick edit Valid 2013-05-30 89009
89010 Annay-sur-Serein Quick edit Valid 2013-05-30 89010
89011 Annéot Quick edit Valid 2013-05-30 89011
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?