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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 8,021 to 8,040.First398399400401402403404405Last
Id Label Status Status Modified Notation
33UHHH Easton Quick edit Valid 2013-05-30 33UHHH
33UHHJ Forncett Quick edit Valid 2013-05-30 33UHHJ
33UHHM Hempnall Quick edit Valid 2013-05-30 33UHHM
33UHHP Hingham and Deopham Quick edit Valid 2013-05-30 33UHHP
33UHHS New Costessey Quick edit Valid 2013-05-30 33UHHS
33UHHT Newton Flotman Quick edit Valid 2013-05-30 33UHHT
33UHHU Northfields Quick edit Valid 2013-05-30 33UHHU
33UHHW Old Costessey Quick edit Valid 2013-05-30 33UHHW
33UHHX Poringland with the Framinghams Quick edit Valid 2013-05-30 33UHHX
33UHHY Rockland Quick edit Valid 2013-05-30 33UHHY
33UHJA Rustens Quick edit Valid 2013-05-30 33UHJA
33UHJB Scole Quick edit Valid 2013-05-30 33UHJB
33UHJC Stoke Holy Cross Quick edit Valid 2013-05-30 33UHJC
33UHJD Stratton Quick edit Valid 2013-05-30 33UHJD
33UHJE Tasburgh Quick edit Valid 2013-05-30 33UHJE
33UHJF Thurlton Quick edit Valid 2013-05-30 33UHJF
33UHJG Town Quick edit Valid 2013-05-30 33UHJG
33UHJH Wicklewood Quick edit Valid 2013-05-30 33UHJH
33UHJJ Beck Vale Quick edit Valid 2013-05-30 33UHJJ
33UHJK Bressingham and Burston Quick edit Valid 2013-05-30 33UHJK
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?