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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 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
CF Central African Republic Quick edit Valid 2013-09-25 CF
CF_CAP Bangui Quick edit Valid 2013-09-25 CF_CAP
CG Congo Quick edit Valid 2013-09-25 CG
CG_CAP Brazzaville Quick edit Valid 2013-09-25 CG_CAP
CH Switzerland Quick edit Valid 2013-09-25 CH
CH0 Schweiz/Suisse/Svizzera Quick edit Valid 2013-09-25 CH0
CH01 Région lémanique Quick edit Valid 2013-09-25 CH01
CH011 Vaud Quick edit Valid 2013-09-25 CH011
CH012 Valais Quick edit Valid 2013-09-25 CH012
CH013 Genève Quick edit Valid 2013-09-25 CH013
CH02 Espace Mittelland Quick edit Valid 2013-09-25 CH02
CH021 Bern Quick edit Valid 2013-09-25 CH021
CH022 Freiburg Quick edit Valid 2013-09-25 CH022
CH023 Solothurn Quick edit Valid 2013-09-25 CH023
CH024 Neuchâtel Quick edit Valid 2013-09-25 CH024
CH025 Jura Quick edit Valid 2013-09-25 CH025
CH03 Nordwestschweiz Quick edit Valid 2013-09-25 CH03
CH031 Basel-Stadt Quick edit Valid 2013-09-25 CH031
CH032 Basel-Landschaft Quick edit Valid 2013-09-25 CH032
CH033 Aargau Quick edit Valid 2013-09-25 CH033
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?