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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 9,681 to 9,700.First481482483484485486487488Last
Id Label Status Status Modified Notation
47UFGQ Bengeworth Quick edit Valid 2013-05-30 47UFGQ
47UFGR Bowbrook Quick edit Valid 2013-05-30 47UFGR
47UFGS Bredon Quick edit Valid 2013-05-30 47UFGS
47UFGT Bretforton and Offenham Quick edit Valid 2013-05-30 47UFGT
47UFGU Broadway and Wickhamford Quick edit Valid 2013-05-30 47UFGU
47UFGW Dodderhill Quick edit Valid 2013-05-30 47UFGW
47UFGX Drakes Broughton Quick edit Valid 2013-05-30 47UFGX
47UFGY Droitwich Central Quick edit Valid 2013-05-30 47UFGY
47UFGZ Droitwich East Quick edit Valid 2013-05-30 47UFGZ
47UFHA Droitwich South East Quick edit Valid 2013-05-30 47UFHA
47UFHB Droitwich South West Quick edit Valid 2013-05-30 47UFHB
47UFHC Droitwich West Quick edit Valid 2013-05-30 47UFHC
47UFHD Eckington Quick edit Valid 2013-05-30 47UFHD
47UFHE Elmley Castle and Somerville Quick edit Valid 2013-05-30 47UFHE
47UFHF Evesham North Quick edit Valid 2013-05-30 47UFHF
47UFHG Evesham South Quick edit Valid 2013-05-30 47UFHG
47UFHH Fladbury Quick edit Valid 2013-05-30 47UFHH
47UFHJ Great Hampton Quick edit Valid 2013-05-30 47UFHJ
47UFHK Hartlebury Quick edit Valid 2013-05-30 47UFHK
47UFHL Harvington and Norton Quick edit Valid 2013-05-30 47UFHL
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?