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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 9,701 to 9,720.First482483484485486487488489Last
Id Label Status Status Modified Notation
47UFHM Honeybourne and Pebworth Quick edit Valid 2013-05-30 47UFHM
47UFHN Inkberrow Quick edit Valid 2013-05-30 47UFHN
47UFHP Little Hampton Quick edit Valid 2013-05-30 47UFHP
47UFHQ Lovett and North Claines Quick edit Valid 2013-05-30 47UFHQ
47UFHR Norton and Whittington Quick edit Valid 2013-05-30 47UFHR
47UFHS Ombersley Quick edit Valid 2013-05-30 47UFHS
47UFHT Pershore Quick edit Valid 2013-05-30 47UFHT
47UFHU Pinvin Quick edit Valid 2013-05-30 47UFHU
47UFHW South Bredon Hill Quick edit Valid 2013-05-30 47UFHW
47UFHX The Littletons Quick edit Valid 2013-05-30 47UFHX
47UFHY Upton Snodsbury Quick edit Valid 2013-05-30 47UFHY
47UGFU Aggborough and Spennells Quick edit Valid 2013-05-30 47UGFU
47UGFW Areley Kings Quick edit Valid 2013-05-30 47UGFW
47UGFX Bewdley and Arley Quick edit Valid 2013-05-30 47UGFX
47UGFY Blakedown and Chaddesley Quick edit Valid 2013-05-30 47UGFY
47UGFZ Broadwaters Quick edit Valid 2013-05-30 47UGFZ
47UGGA Cookley Quick edit Valid 2013-05-30 47UGGA
47UGGB Franche Quick edit Valid 2013-05-30 47UGGB
47UGGC Greenhill Quick edit Valid 2013-05-30 47UGGC
47UGGD Habberley and Blakebrook Quick edit Valid 2013-05-30 47UGGD
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?