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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 6,921 to 6,940.First343344345346347348349350Last
Id Label Status Status Modified Notation
26UGGH Marshalswick North Quick edit Valid 2013-05-30 26UGGH
26UGGJ Marshalswick South Quick edit Valid 2013-05-30 26UGGJ
26UGGK Park Street Quick edit Valid 2013-05-30 26UGGK
26UGGL Redbourn Quick edit Valid 2013-05-30 26UGGL
26UGGM St Peters Quick edit Valid 2013-05-30 26UGGM
26UGGN St Stephen Quick edit Valid 2013-05-30 26UGGN
26UGGP Sandridge Quick edit Valid 2013-05-30 26UGGP
26UGGQ Sopwell Quick edit Valid 2013-05-30 26UGGQ
26UGGR Verulam Quick edit Valid 2013-05-30 26UGGR
26UGGS Wheathampstead Quick edit Valid 2013-05-30 26UGGS
26UHFQ Bandley Hill Quick edit Valid 2013-05-30 26UHFQ
26UHFR Bedwell Quick edit Valid 2013-05-30 26UHFR
26UHFS Chells Quick edit Valid 2013-05-30 26UHFS
26UHFT Longmeadow Quick edit Valid 2013-05-30 26UHFT
26UHFU Manor Quick edit Valid 2013-05-30 26UHFU
26UHFW Martins Wood Quick edit Valid 2013-05-30 26UHFW
26UHFX Old Town Quick edit Valid 2013-05-30 26UHFX
26UHFY Pin Green Quick edit Valid 2013-05-30 26UHFY
26UHFZ Roebuck Quick edit Valid 2013-05-30 26UHFZ
26UHGA St Nicholas Quick edit Valid 2013-05-30 26UHGA
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?