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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

10,310 concepts found, displaying 9,601 to 9,620.First477478479480481482483484Last
Id Label Status Status Modified Notation
45UHFU Heene Quick edit Valid 2013-05-30 45UHFU
45UHFW Marine Quick edit Valid 2013-05-30 45UHFW
45UHFX Northbrook Quick edit Valid 2013-05-30 45UHFX
45UHFY Offington Quick edit Valid 2013-05-30 45UHFY
45UHFZ Salvington Quick edit Valid 2013-05-30 45UHFZ
45UHGA Selden Quick edit Valid 2013-05-30 45UHGA
45UHGB Tarring Quick edit Valid 2013-05-30 45UHGB
47UBFY Alvechurch Quick edit Valid 2013-05-30 47UBFY
47UBFZ Beacon Quick edit Valid 2013-05-30 47UBFZ
47UBGA Catshill Quick edit Valid 2013-05-30 47UBGA
47UBGB Charford Quick edit Valid 2013-05-30 47UBGB
47UBGC Drakes Cross and Walkers Heath Quick edit Valid 2013-05-30 47UBGC
47UBGD Furlongs Quick edit Valid 2013-05-30 47UBGD
47UBGE Hagley Quick edit Valid 2013-05-30 47UBGE
47UBGF Hillside Quick edit Valid 2013-05-30 47UBGF
47UBGG Hollywood and Majors Green Quick edit Valid 2013-05-30 47UBGG
47UBGH Linthurst Quick edit Valid 2013-05-30 47UBGH
47UBGJ Marlbrook Quick edit Valid 2013-05-30 47UBGJ
47UBGK Norton Quick edit Valid 2013-05-30 47UBGK
47UBGL St Johns Quick edit Valid 2013-05-30 47UBGL
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?