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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 7,021 to 7,040.First348349350351352353354355Last
Id Label Status Status Modified Notation
29UBJE Victoria Quick edit Valid 2013-05-30 29UBJE
29UBJF Washford Quick edit Valid 2013-05-30 29UBJF
29UBJG Weald Central Quick edit Valid 2013-05-30 29UBJG
29UBJH Weald East Quick edit Valid 2013-05-30 29UBJH
29UBJJ Weald North Quick edit Valid 2013-05-30 29UBJJ
29UBJK Weald South Quick edit Valid 2013-05-30 29UBJK
29UBJL Wye Quick edit Valid 2013-05-30 29UBJL
29UCGC Barham Downs Quick edit Valid 2013-05-30 29UCGC
29UCGD Barton Quick edit Valid 2013-05-30 29UCGD
29UCGE Blean Forest Quick edit Valid 2013-05-30 29UCGE
29UCGF Chartham and Stone Street Quick edit Valid 2013-05-30 29UCGF
29UCGG Chestfield and Swalecliffe Quick edit Valid 2013-05-30 29UCGG
29UCGH Gorrell Quick edit Valid 2013-05-30 29UCGH
29UCGJ Greenhill and Eddington Quick edit Valid 2013-05-30 29UCGJ
29UCGK Harbledown Quick edit Valid 2013-05-30 29UCGK
29UCGL Harbour Quick edit Valid 2013-05-30 29UCGL
29UCGM Herne and Broomfield Quick edit Valid 2013-05-30 29UCGM
29UCGN Heron Quick edit Valid 2013-05-30 29UCGN
29UCGP Little Stour Quick edit Valid 2013-05-30 29UCGP
29UCGQ Marshside Quick edit Valid 2013-05-30 29UCGQ
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?