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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 9,181 to 9,200.First456457458459460461462463Last
Id Label Status Status Modified Notation
43UCFX Ruxley Quick edit Valid 2013-05-30 43UCFX
43UCFY Stamford Quick edit Valid 2013-05-30 43UCFY
43UCFZ Stoneleigh Quick edit Valid 2013-05-30 43UCFZ
43UCGA Town Quick edit Valid 2013-05-30 43UCGA
43UCGB West Ewell Quick edit Valid 2013-05-30 43UCGB
43UCGC Woodcote Quick edit Valid 2013-05-30 43UCGC
43UDFY Ash South and Tongham Quick edit Valid 2013-05-30 43UDFY
43UDFZ Ash Vale Quick edit Valid 2013-05-30 43UDFZ
43UDGA Ash Wharf Quick edit Valid 2013-05-30 43UDGA
43UDGB Burpham Quick edit Valid 2013-05-30 43UDGB
43UDGC Christchurch Quick edit Valid 2013-05-30 43UDGC
43UDGD Clandon and Horsley Quick edit Valid 2013-05-30 43UDGD
43UDGE Effingham Quick edit Valid 2013-05-30 43UDGE
43UDGF Friary and St Nicolas Quick edit Valid 2013-05-30 43UDGF
43UDGG Holy Trinity Quick edit Valid 2013-05-30 43UDGG
43UDGH Lovelace Quick edit Valid 2013-05-30 43UDGH
43UDGJ Merrow Quick edit Valid 2013-05-30 43UDGJ
43UDGK Normandy Quick edit Valid 2013-05-30 43UDGK
43UDGL Onslow Quick edit Valid 2013-05-30 43UDGL
43UDGM Pilgrims Quick edit Valid 2013-05-30 43UDGM
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?