You are here:
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 9,661 to 9,680.First480481482483484485486487Last
Id Label Status Status Modified Notation
47UDFW Lodge Park Quick edit Valid 2013-05-30 47UDFW
47UDFX Matchborough Quick edit Valid 2013-05-30 47UDFX
47UDFY West Quick edit Valid 2013-05-30 47UDFY
47UDFZ Winyates Quick edit Valid 2013-05-30 47UDFZ
47UEFN Arboretum Quick edit Valid 2013-05-30 47UEFN
47UEFP Battenhall Quick edit Valid 2013-05-30 47UEFP
47UEFQ Bedwardine Quick edit Valid 2013-05-30 47UEFQ
47UEFR Cathedral Quick edit Valid 2013-05-30 47UEFR
47UEFS Claines Quick edit Valid 2013-05-30 47UEFS
47UEFT Gorse Hill Quick edit Valid 2013-05-30 47UEFT
47UEFU Nunnery Quick edit Valid 2013-05-30 47UEFU
47UEFW Rainbow Hill Quick edit Valid 2013-05-30 47UEFW
47UEFX St Clement Quick edit Valid 2013-05-30 47UEFX
47UEFY St John Quick edit Valid 2013-05-30 47UEFY
47UEFZ St Peter's Parish Quick edit Valid 2013-05-30 47UEFZ
47UEGA St Stephen Quick edit Valid 2013-05-30 47UEGA
47UEGB Warndon Quick edit Valid 2013-05-30 47UEGB
47UEGC Warndon Parish North Quick edit Valid 2013-05-30 47UEGC
47UEGD Warndon Parish South Quick edit Valid 2013-05-30 47UEGD
47UFGP Badsey Quick edit Valid 2013-05-30 47UFGP
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?