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 35,461 to 35,480.First1,7701,7711,7721,7731,7741,7751,7761,777Last
Id Label Status Status Modified Notation
88484 Uzemain Quick edit Valid 2013-05-30 88484
88485 La Vacheresse-et-la-Rouillie Quick edit Valid 2013-05-30 88485
88486 Vagney Quick edit Valid 2013-05-30 88486
88487 Le Val-d'Ajol Quick edit Valid 2013-05-30 88487
88488 Valfroicourt Quick edit Valid 2013-05-30 88488
88489 Valleroy-aux-Saules Quick edit Valid 2013-05-30 88489
88490 Valleroy-le-Sec Quick edit Valid 2013-05-30 88490
88491 Les Vallois Quick edit Valid 2013-05-30 88491
88492 Le Valtin Quick edit Valid 2013-05-30 88492
88493 Varmonzey Quick edit Valid 2013-05-30 88493
88494 Vaubexy Quick edit Valid 2013-05-30 88494
88495 Vaudéville Quick edit Valid 2013-05-30 88495
88496 Vaudoncourt Quick edit Valid 2013-05-30 88496
88497 Vaxoncourt Quick edit Valid 2013-05-30 88497
88498 Vecoux Quick edit Valid 2013-05-30 88498
88499 Velotte-et-Tatignécourt Quick edit Valid 2013-05-30 88499
88500 Ventron Quick edit Valid 2013-05-30 88500
88501 Le Vermont Quick edit Valid 2013-05-30 88501
88502 Vervezelle Quick edit Valid 2013-05-30 88502
88503 Vexaincourt Quick edit Valid 2013-05-30 88503
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?