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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 7,621 to 7,640.First378379380381382383384385Last
Id Label Status Status Modified Notation
31UGFT Asfordby Quick edit Valid 2013-05-30 31UGFT
31UGFU Bottesford Quick edit Valid 2013-05-30 31UGFU
31UGFW Croxton Kerrial Quick edit Valid 2013-05-30 31UGFW
31UGFX Frisby-on-the-Wreake Quick edit Valid 2013-05-30 31UGFX
31UGFY Gaddesby Quick edit Valid 2013-05-30 31UGFY
31UGFZ Long Clawson and Stathern Quick edit Valid 2013-05-30 31UGFZ
31UGGA Melton Craven Quick edit Valid 2013-05-30 31UGGA
31UGGB Melton Dorian Quick edit Valid 2013-05-30 31UGGB
31UGGC Melton Egerton Quick edit Valid 2013-05-30 31UGGC
31UGGD Melton Newport Quick edit Valid 2013-05-30 31UGGD
31UGGE Melton Sysonby Quick edit Valid 2013-05-30 31UGGE
31UGGF Melton Warwick Quick edit Valid 2013-05-30 31UGGF
31UGGG Old Dalby Quick edit Valid 2013-05-30 31UGGG
31UGGH Somerby Quick edit Valid 2013-05-30 31UGGH
31UGGJ Waltham-on-the-Wolds Quick edit Valid 2013-05-30 31UGGJ
31UGGK Wymondham Quick edit Valid 2013-05-30 31UGGK
31UHFZ Appleby Quick edit Valid 2013-05-30 31UHFZ
31UHGA Ashby Castle Quick edit Valid 2013-05-30 31UHGA
31UHGB Ashby Holywell Quick edit Valid 2013-05-30 31UHGB
31UHGC Ashby Ivanhoe Quick edit Valid 2013-05-30 31UHGC
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?