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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 7,001 to 7,020.First347348349350351352353354Last
Id Label Status Status Modified Notation
29UBHH Downs West Quick edit Valid 2013-05-30 29UBHH
29UBHJ Godinton Quick edit Valid 2013-05-30 29UBHJ
29UBHK Great Chart with Singleton North Quick edit Valid 2013-05-30 29UBHK
29UBHL Highfield Quick edit Valid 2013-05-30 29UBHL
29UBHM Isle of Oxney Quick edit Valid 2013-05-30 29UBHM
29UBHN Kennington Quick edit Valid 2013-05-30 29UBHN
29UBHP Little Burton Farm Quick edit Valid 2013-05-30 29UBHP
29UBHQ Norman Quick edit Valid 2013-05-30 29UBHQ
29UBHR North Willesborough Quick edit Valid 2013-05-30 29UBHR
29UBHS Park Farm North Quick edit Valid 2013-05-30 29UBHS
29UBHT Park Farm South Quick edit Valid 2013-05-30 29UBHT
29UBHU Rolvenden and Tenterden West Quick edit Valid 2013-05-30 29UBHU
29UBHW St Michaels Quick edit Valid 2013-05-30 29UBHW
29UBHX Saxon Shore Quick edit Valid 2013-05-30 29UBHX
29UBHY Singleton South Quick edit Valid 2013-05-30 29UBHY
29UBHZ South Willesborough Quick edit Valid 2013-05-30 29UBHZ
29UBJA Stanhope Quick edit Valid 2013-05-30 29UBJA
29UBJB Stour Quick edit Valid 2013-05-30 29UBJB
29UBJC Tenterden North Quick edit Valid 2013-05-30 29UBJC
29UBJD Tenterden South Quick edit Valid 2013-05-30 29UBJD
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?