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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 7,241 to 7,260.First359360361362363364365366Last
Id Label Status Status Modified Notation
29UPHW Higham Quick edit Valid 2013-05-30 29UPHW
29UPHX Hildenborough Quick edit Valid 2013-05-30 29UPHX
29UPHY Ightham Quick edit Valid 2013-05-30 29UPHY
29UPHZ Judd Quick edit Valid 2013-05-30 29UPHZ
29UPJA Kings Hill Quick edit Valid 2013-05-30 29UPJA
29UPJB Larkfield North Quick edit Valid 2013-05-30 29UPJB
29UPJC Larkfield South Quick edit Valid 2013-05-30 29UPJC
29UPJD Medway Quick edit Valid 2013-05-30 29UPJD
29UPJE Snodland East Quick edit Valid 2013-05-30 29UPJE
29UPJF Snodland West Quick edit Valid 2013-05-30 29UPJF
29UPJG Trench Quick edit Valid 2013-05-30 29UPJG
29UPJH Vauxhall Quick edit Valid 2013-05-30 29UPJH
29UPJJ Wateringbury Quick edit Valid 2013-05-30 29UPJJ
29UPJK West Malling and Leybourne Quick edit Valid 2013-05-30 29UPJK
29UPJL Wrotham Quick edit Valid 2013-05-30 29UPJL
29UQGB Benenden and Cranbrook Quick edit Valid 2013-05-30 29UQGB
29UQGC Brenchley and Horsmonden Quick edit Valid 2013-05-30 29UQGC
29UQGD Broadwater Quick edit Valid 2013-05-30 29UQGD
29UQGE Capel Quick edit Valid 2013-05-30 29UQGE
29UQGF Culverden Quick edit Valid 2013-05-30 29UQGF
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?