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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 1,681 to 1,700.First8182838485868788Last
Id Label Status Status Modified Notation
04157 Puimoisson Quick edit Valid 2013-05-30 04157
04158 Quinson Quick edit Valid 2013-05-30 04158
04159 Redortiers Quick edit Valid 2013-05-30 04159
04160 Reillanne Quick edit Valid 2013-05-30 04160
04161 Méolans-Revel Quick edit Valid 2013-05-30 04161
04162 Revest-des-Brousses Quick edit Valid 2013-05-30 04162
04163 Revest-du-Bion Quick edit Valid 2013-05-30 04163
04164 Revest-Saint-Martin Quick edit Valid 2013-05-30 04164
04166 Riez Quick edit Valid 2013-05-30 04166
04167 La Robine-sur-Galabre Quick edit Valid 2013-05-30 04167
04169 La Rochegiron Quick edit Valid 2013-05-30 04169
04170 La Rochette Quick edit Valid 2013-05-30 04170
04171 Rougon Quick edit Valid 2013-05-30 04171
04172 Roumoules Quick edit Valid 2013-05-30 04172
04173 Saint-André-les-Alpes Quick edit Valid 2013-05-30 04173
04174 Saint-Benoît Quick edit Valid 2013-05-30 04174
04175 Sainte-Croix-à-Lauze Quick edit Valid 2013-05-30 04175
04176 Sainte-Croix-du-Verdon Quick edit Valid 2013-05-30 04176
04177 Hautes-Duyes Quick edit Valid 2013-05-30 04177
04178 Saint-Étienne-les-Orgues Quick edit Valid 2013-05-30 04178
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?