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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 9,081 to 9,100.First451452453454455456457458Last
Id Label Status Status Modified Notation
42UFHE Kedington Quick edit Valid 2013-05-30 42UFHE
42UFHF Minden Quick edit Valid 2013-05-30 42UFHF
42UFHG Moreton Hall Quick edit Valid 2013-05-30 42UFHG
42UFHH Northgate Quick edit Valid 2013-05-30 42UFHH
42UFHJ Pakenham Quick edit Valid 2013-05-30 42UFHJ
42UFHK Risby Quick edit Valid 2013-05-30 42UFHK
42UFHL Risbygate Quick edit Valid 2013-05-30 42UFHL
42UFHM Rougham Quick edit Valid 2013-05-30 42UFHM
42UFHN St Olaves Quick edit Valid 2013-05-30 42UFHN
42UFHP Southgate Quick edit Valid 2013-05-30 42UFHP
42UFHQ Stanton Quick edit Valid 2013-05-30 42UFHQ
42UFHR Westgate Quick edit Valid 2013-05-30 42UFHR
42UFHS Wickhambrook Quick edit Valid 2013-05-30 42UFHS
42UFHT Withersfield Quick edit Valid 2013-05-30 42UFHT
42UGGW Aldeburgh Quick edit Valid 2013-05-30 42UGGW
42UGGX Earl Soham Quick edit Valid 2013-05-30 42UGGX
42UGGY Farlingaye Quick edit Valid 2013-05-30 42UGGY
42UGGZ Felixstowe East Quick edit Valid 2013-05-30 42UGGZ
42UGHA Felixstowe North Quick edit Valid 2013-05-30 42UGHA
42UGHB Felixstowe South Quick edit Valid 2013-05-30 42UGHB
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?