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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 9,641 to 9,660.First479480481482483484485486Last
Id Label Status Status Modified Notation
47UCJB Martley Quick edit Valid 2013-05-30 47UCJB
47UCJC Morton Quick edit Valid 2013-05-30 47UCJC
47UCJD Pickersleigh Quick edit Valid 2013-05-30 47UCJD
47UCJE Powick Quick edit Valid 2013-05-30 47UCJE
47UCJF Priory Quick edit Valid 2013-05-30 47UCJF
47UCJG Ripple Quick edit Valid 2013-05-30 47UCJG
47UCJH Teme Valley Quick edit Valid 2013-05-30 47UCJH
47UCJJ Tenbury Quick edit Valid 2013-05-30 47UCJJ
47UCJK Upton and Hanley Quick edit Valid 2013-05-30 47UCJK
47UCJL Wells Quick edit Valid 2013-05-30 47UCJL
47UCJM West Quick edit Valid 2013-05-30 47UCJM
47UCJN Woodbury Quick edit Valid 2013-05-30 47UCJN
47UDFM Abbey Quick edit Valid 2013-05-30 47UDFM
47UDFN Astwood Bank and Feckenham Quick edit Valid 2013-05-30 47UDFN
47UDFP Batchley Quick edit Valid 2013-05-30 47UDFP
47UDFQ Central Quick edit Valid 2013-05-30 47UDFQ
47UDFR Church Hill Quick edit Valid 2013-05-30 47UDFR
47UDFS Crabbs Cross Quick edit Valid 2013-05-30 47UDFS
47UDFT Greenlands Quick edit Valid 2013-05-30 47UDFT
47UDFU Headless Cross and Oakenshaw Quick edit Valid 2013-05-30 47UDFU
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?