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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 5,341 to 5,360.First264265266267268269270271Last
Id Label Status Status Modified Notation
12UGGW Balsham Quick edit Valid 2013-05-30 12UGGW
12UGGX Bar Hill Quick edit Valid 2013-05-30 12UGGX
12UGGY Barton Quick edit Valid 2013-05-30 12UGGY
12UGGZ Bassingbourn Quick edit Valid 2013-05-30 12UGGZ
12UGHB Caldecote Quick edit Valid 2013-05-30 12UGHB
12UGHC Comberton Quick edit Valid 2013-05-30 12UGHC
12UGHD Cottenham Quick edit Valid 2013-05-30 12UGHD
12UGHE Duxford Quick edit Valid 2013-05-30 12UGHE
12UGHF Fowlmere and Foxton Quick edit Valid 2013-05-30 12UGHF
12UGHG Fulbourn Quick edit Valid 2013-05-30 12UGHG
12UGHH Gamlingay Quick edit Valid 2013-05-30 12UGHH
12UGHJ Girton Quick edit Valid 2013-05-30 12UGHJ
12UGHK Hardwick Quick edit Valid 2013-05-30 12UGHK
12UGHL Harston and Hauxton Quick edit Valid 2013-05-30 12UGHL
12UGHM Haslingfield and The Eversdens Quick edit Valid 2013-05-30 12UGHM
12UGHN Histon and Impington Quick edit Valid 2013-05-30 12UGHN
12UGHP Linton Quick edit Valid 2013-05-30 12UGHP
12UGHQ Longstanton Quick edit Valid 2013-05-30 12UGHQ
12UGHR Melbourn Quick edit Valid 2013-05-30 12UGHR
12UGHS Meldreth Quick edit Valid 2013-05-30 12UGHS
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?