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 35,181 to 35,200.First1,7561,7571,7581,7591,7601,7611,7621,763Last
Id Label Status Status Modified Notation
88190 Frizon Quick edit Valid 2013-05-30 88190
88192 Gelvécourt-et-Adompt Quick edit Valid 2013-05-30 88192
88193 Gemaingoutte Quick edit Valid 2013-05-30 88193
88194 Gemmelaincourt Quick edit Valid 2013-05-30 88194
88195 Gendreville Quick edit Valid 2013-05-30 88195
88196 Gérardmer Quick edit Valid 2013-05-30 88196
88197 Gerbamont Quick edit Valid 2013-05-30 88197
88198 Gerbépal Quick edit Valid 2013-05-30 88198
88199 Gignéville Quick edit Valid 2013-05-30 88199
88200 Gigney Quick edit Valid 2013-05-30 88200
88201 Girancourt Quick edit Valid 2013-05-30 88201
88202 Gircourt-lès-Viéville Quick edit Valid 2013-05-30 88202
88203 Girecourt-sur-Durbion Quick edit Valid 2013-05-30 88203
88204 Girmont Quick edit Valid 2013-05-30 88204
88205 Girmont-Val-d'Ajol Quick edit Valid 2013-05-30 88205
88206 Gironcourt-sur-Vraine Quick edit Valid 2013-05-30 88206
88208 Godoncourt Quick edit Valid 2013-05-30 88208
88209 Golbey Quick edit Valid 2013-05-30 88209
88210 Gorhey Quick edit Valid 2013-05-30 88210
88212 Grand Quick edit Valid 2013-05-30 88212
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?