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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 6,721 to 6,740.First333334335336337338339340Last
Id Label Status Status Modified Notation
24UJHC Forest North West Quick edit Valid 2013-05-30 24UJHC
24UJHD Furzedown and Hardley Quick edit Valid 2013-05-30 24UJHD
24UJHE Holbury and North Blackfield Quick edit Valid 2013-05-30 24UJHE
24UJHF Hordle Quick edit Valid 2013-05-30 24UJHF
24UJHG Hythe West and Langdown Quick edit Valid 2013-05-30 24UJHG
24UJHH Lymington Town Quick edit Valid 2013-05-30 24UJHH
24UJHJ Lyndhurst Quick edit Valid 2013-05-30 24UJHJ
24UJHK Marchwood Quick edit Valid 2013-05-30 24UJHK
24UJHL Milford Quick edit Valid 2013-05-30 24UJHL
24UJHM Milton Quick edit Valid 2013-05-30 24UJHM
24UJHN Pennington Quick edit Valid 2013-05-30 24UJHN
24UJHP Ringwood East and Sopley Quick edit Valid 2013-05-30 24UJHP
24UJHQ Ringwood North Quick edit Valid 2013-05-30 24UJHQ
24UJHR Ringwood South Quick edit Valid 2013-05-30 24UJHR
24UJHS Totton Central Quick edit Valid 2013-05-30 24UJHS
24UJHT Totton East Quick edit Valid 2013-05-30 24UJHT
24UJHU Totton North Quick edit Valid 2013-05-30 24UJHU
24UJHW Totton South Quick edit Valid 2013-05-30 24UJHW
24UJHX Totton West Quick edit Valid 2013-05-30 24UJHX
24ULFR Cove and Southwood Quick edit Valid 2013-05-30 24ULFR
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?