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 33,161 to 33,180.First1,6551,6561,6571,6581,6591,6601,6611,662Last
Id Label Status Status Modified Notation
80568 Morchain Quick edit Valid 2013-05-30 80568
80569 Morcourt Quick edit Valid 2013-05-30 80569
80570 Moreuil Quick edit Valid 2013-05-30 80570
80571 Morisel Quick edit Valid 2013-05-30 80571
80572 Morlancourt Quick edit Valid 2013-05-30 80572
80573 Morvillers-Saint-Saturnin Quick edit Valid 2013-05-30 80573
80574 Mouflers Quick edit Valid 2013-05-30 80574
80575 Mouflières Quick edit Valid 2013-05-30 80575
80576 Moyencourt Quick edit Valid 2013-05-30 80576
80577 Moyencourt-lès-Poix Quick edit Valid 2013-05-30 80577
80578 Moyenneville Quick edit Valid 2013-05-30 80578
80579 Muille-Villette Quick edit Valid 2013-05-30 80579
80580 Nampont Quick edit Valid 2013-05-30 80580
80582 Namps-Maisnil Quick edit Valid 2013-05-30 80582
80583 Nampty Quick edit Valid 2013-05-30 80583
80584 Naours Quick edit Valid 2013-05-30 80584
80585 Nesle Quick edit Valid 2013-05-30 80585
80586 Nesle-l'Hôpital Quick edit Valid 2013-05-30 80586
80587 Neslette Quick edit Valid 2013-05-30 80587
80588 Neufmoulin Quick edit Valid 2013-05-30 80588
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?