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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 7,981 to 8,000.First396397398399400401402403Last
Id Label Status Status Modified Notation
33UFHC Lancaster North Quick edit Valid 2013-05-30 33UFHC
33UFHD Lancaster South Quick edit Valid 2013-05-30 33UFHD
33UFHE Mundesley Quick edit Valid 2013-05-30 33UFHE
33UFHF North Walsham East Quick edit Valid 2013-05-30 33UFHF
33UFHG North Walsham North Quick edit Valid 2013-05-30 33UFHG
33UFHH North Walsham West Quick edit Valid 2013-05-30 33UFHH
33UFHJ Poppyland Quick edit Valid 2013-05-30 33UFHJ
33UFHK Priory Quick edit Valid 2013-05-30 33UFHK
33UFHL Roughton Quick edit Valid 2013-05-30 33UFHL
33UFHM Scottow Quick edit Valid 2013-05-30 33UFHM
33UFHN St Benet Quick edit Valid 2013-05-30 33UFHN
33UFHP Sheringham North Quick edit Valid 2013-05-30 33UFHP
33UFHQ Sheringham South Quick edit Valid 2013-05-30 33UFHQ
33UFHR Stalham and Sutton Quick edit Valid 2013-05-30 33UFHR
33UFHS Suffield Park Quick edit Valid 2013-05-30 33UFHS
33UFHT The Raynhams Quick edit Valid 2013-05-30 33UFHT
33UFHU The Runtons Quick edit Valid 2013-05-30 33UFHU
33UFHW Walsingham Quick edit Valid 2013-05-30 33UFHW
33UFHX Waterside Quick edit Valid 2013-05-30 33UFHX
33UFHY Waxham Quick edit Valid 2013-05-30 33UFHY
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?