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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 8,581 to 8,600.First426427428429430431432433Last
Id Label Status Status Modified Notation
38UDGQ Chiltern Woods Quick edit Valid 2013-05-30 38UDGQ
38UDGR Chinnor Quick edit Valid 2013-05-30 38UDGR
38UDGS Cholsey and Wallingford South Quick edit Valid 2013-05-30 38UDGS
38UDGT Crowmarsh Quick edit Valid 2013-05-30 38UDGT
38UDGU Didcot All Saints Quick edit Valid 2013-05-30 38UDGU
38UDGW Didcot Ladygrove Quick edit Valid 2013-05-30 38UDGW
38UDGX Didcot Northbourne Quick edit Valid 2013-05-30 38UDGX
38UDGY Didcot Park Quick edit Valid 2013-05-30 38UDGY
38UDGZ Forest Hill and Holton Quick edit Valid 2013-05-30 38UDGZ
38UDHA Garsington Quick edit Valid 2013-05-30 38UDHA
38UDHB Goring Quick edit Valid 2013-05-30 38UDHB
38UDHC Great Milton Quick edit Valid 2013-05-30 38UDHC
38UDHD Hagbourne Quick edit Valid 2013-05-30 38UDHD
38UDHE Henley North Quick edit Valid 2013-05-30 38UDHE
38UDHF Henley South Quick edit Valid 2013-05-30 38UDHF
38UDHG Sandford Quick edit Valid 2013-05-30 38UDHG
38UDHH Shiplake Quick edit Valid 2013-05-30 38UDHH
38UDHJ Sonning Common Quick edit Valid 2013-05-30 38UDHJ
38UDHK Thame North Quick edit Valid 2013-05-30 38UDHK
38UDHL Thame South Quick edit Valid 2013-05-30 38UDHL
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?