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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 1,821 to 1,840.First8889909192939495Last
Id Label Status Status Modified Notation
FRC21 Doubs Quick edit Valid 2018-02-07 FRC21
FRC22 Jura Quick edit Valid 2018-02-07 FRC22
FRC23 Haute-Saône Quick edit Valid 2018-02-07 FRC23
FRC24 Territoire de Belfort Quick edit Valid 2018-02-07 FRC24
FRD Normandie Quick edit Valid 2018-02-07 FRD
FRD1 Basse-Normandie Quick edit Valid 2018-02-07 FRD1
FRD11 Calvados Quick edit Valid 2018-02-07 FRD11
FRD12 Manche Quick edit Valid 2018-02-07 FRD12
FRD13 Orne Quick edit Valid 2018-02-07 FRD13
FRD2 Haute-Normandie Quick edit Valid 2018-02-07 FRD2
FRD21 Eure Quick edit Valid 2018-02-07 FRD21
FRD22 Seine-Maritime Quick edit Valid 2018-02-07 FRD22
FRE Hauts-de-France Quick edit Valid 2018-02-07 FRE
FRE1 Nord-Pas-de-Calais Quick edit Valid 2018-02-07 FRE1
FRE11 Nord Quick edit Valid 2018-02-07 FRE11
FRE12 Pas-de-Calais Quick edit Valid 2018-02-07 FRE12
FRE2 Picardie Quick edit Valid 2018-02-07 FRE2
FRE21 Aisne Quick edit Valid 2018-02-07 FRE21
FRE22 Oise Quick edit Valid 2018-02-07 FRE22
FRE23 Somme Quick edit Valid 2018-02-07 FRE23
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?