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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 6,881 to 6,900.First341342343344345346347348Last
Id Label Status Status Modified Notation
26UEGG Bushey St James Quick edit Valid 2013-05-30 26UEGG
26UEGH Elstree Quick edit Valid 2013-05-30 26UEGH
26UEGJ Potters Bar Furzefield Quick edit Valid 2013-05-30 26UEGJ
26UEGK Potters Bar Oakmere Quick edit Valid 2013-05-30 26UEGK
26UEGL Potters Bar Parkfield Quick edit Valid 2013-05-30 26UEGL
26UEGM Shenley Quick edit Valid 2013-05-30 26UEGM
26UFHF Arbury Quick edit Valid 2013-05-30 26UFHF
26UFHG Baldock East Quick edit Valid 2013-05-30 26UFHG
26UFHH Baldock Town Quick edit Valid 2013-05-30 26UFHH
26UFHJ Cadwell Quick edit Valid 2013-05-30 26UFHJ
26UFHK Chesfield Quick edit Valid 2013-05-30 26UFHK
26UFHL Codicote Quick edit Valid 2013-05-30 26UFHL
26UFHM Ermine Quick edit Valid 2013-05-30 26UFHM
26UFHN Hitchin Bearton Quick edit Valid 2013-05-30 26UFHN
26UFHP Hitchin Highbury Quick edit Valid 2013-05-30 26UFHP
26UFHQ Hitchin Oughton Quick edit Valid 2013-05-30 26UFHQ
26UFHR Hitchin Priory Quick edit Valid 2013-05-30 26UFHR
26UFHS Hitchin Walsworth Quick edit Valid 2013-05-30 26UFHS
26UFHT Hitchwood, Offa and Hoo Quick edit Valid 2013-05-30 26UFHT
26UFHU Kimpton Quick edit Valid 2013-05-30 26UFHU
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?