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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 8,921 to 8,940.First443444445446447448449450Last
Id Label Status Status Modified Notation
41UGGQ Forebridge Quick edit Valid 2013-05-30 41UGGQ
41UGGR Fulford Quick edit Valid 2013-05-30 41UGGR
41UGGS Gnosall and Woodseaves Quick edit Valid 2013-05-30 41UGGS
41UGGT Haywood and Hixon Quick edit Valid 2013-05-30 41UGGT
41UGGU Highfields and Western Downs Quick edit Valid 2013-05-30 41UGGU
41UGGW Holmcroft Quick edit Valid 2013-05-30 41UGGW
41UGGX Littleworth Quick edit Valid 2013-05-30 41UGGX
41UGGY Manor Quick edit Valid 2013-05-30 41UGGY
41UGGZ Milford Quick edit Valid 2013-05-30 41UGGZ
41UGHA Milwich Quick edit Valid 2013-05-30 41UGHA
41UGHB Penkside Quick edit Valid 2013-05-30 41UGHB
41UGHC Rowley Quick edit Valid 2013-05-30 41UGHC
41UGHD St. Michael's Quick edit Valid 2013-05-30 41UGHD
41UGHE Seighford Quick edit Valid 2013-05-30 41UGHE
41UGHF Stonefield and Christchurch Quick edit Valid 2013-05-30 41UGHF
41UGHG Swynnerton Quick edit Valid 2013-05-30 41UGHG
41UGHH Tillington Quick edit Valid 2013-05-30 41UGHH
41UGHJ Walton Quick edit Valid 2013-05-30 41UGHJ
41UGHK Weeping Cross Quick edit Valid 2013-05-30 41UGHK
41UHGF Alton Quick edit Valid 2013-05-30 41UHGF
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?