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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 6,441 to 6,460.First319320321322323324325326Last
Id Label Status Status Modified Notation
23UCGT Churn Valley Quick edit Valid 2013-05-30 23UCGT
23UCGU Cirencester Beeches Quick edit Valid 2013-05-30 23UCGU
23UCGW Cirencester Chesterton Quick edit Valid 2013-05-30 23UCGW
23UCGX Cirencester Park Quick edit Valid 2013-05-30 23UCGX
23UCGY Cirencester Stratton-Whiteway Quick edit Valid 2013-05-30 23UCGY
23UCGZ Cirencester Watermoor Quick edit Valid 2013-05-30 23UCGZ
23UCHA Ermin Quick edit Valid 2013-05-30 23UCHA
23UCHB Fairford Quick edit Valid 2013-05-30 23UCHB
23UCHC Fosseridge Quick edit Valid 2013-05-30 23UCHC
23UCHD Grumbolds Ash Quick edit Valid 2013-05-30 23UCHD
23UCHE Hampton Quick edit Valid 2013-05-30 23UCHE
23UCHF Kempsford-Lechlade Quick edit Valid 2013-05-30 23UCHF
23UCHG Moreton-in-Marsh Quick edit Valid 2013-05-30 23UCHG
23UCHH Northleach Quick edit Valid 2013-05-30 23UCHH
23UCHJ Rissingtons Quick edit Valid 2013-05-30 23UCHJ
23UCHK Riversmeet Quick edit Valid 2013-05-30 23UCHK
23UCHL Sandywell Quick edit Valid 2013-05-30 23UCHL
23UCHM Tetbury Quick edit Valid 2013-05-30 23UCHM
23UCHN Thames Head Quick edit Valid 2013-05-30 23UCHN
23UCHP Three Rivers Quick edit Valid 2013-05-30 23UCHP
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?