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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 7,701 to 7,720.First382383384385386387388389Last
Id Label Status Status Modified Notation
32UCHU Mablethorpe East Quick edit Valid 2013-05-30 32UCHU
32UCHW Mablethorpe North Quick edit Valid 2013-05-30 32UCHW
32UCHX Mareham le Fen Quick edit Valid 2013-05-30 32UCHX
32UCHY Marshchapel Quick edit Valid 2013-05-30 32UCHY
32UCHZ North Holme Quick edit Valid 2013-05-30 32UCHZ
32UCJA North Somercotes Quick edit Valid 2013-05-30 32UCJA
32UCJB North Thoresby Quick edit Valid 2013-05-30 32UCJB
32UCJC Priory Quick edit Valid 2013-05-30 32UCJC
32UCJD Roughton Quick edit Valid 2013-05-30 32UCJD
32UCJE St Clement's Quick edit Valid 2013-05-30 32UCJE
32UCJF St James' Quick edit Valid 2013-05-30 32UCJF
32UCJG St Margaret's Quick edit Valid 2013-05-30 32UCJG
32UCJH St Mary's Quick edit Valid 2013-05-30 32UCJH
32UCJJ St Michael's Quick edit Valid 2013-05-30 32UCJJ
32UCJK Scarbrough Quick edit Valid 2013-05-30 32UCJK
32UCJL Seacroft Quick edit Valid 2013-05-30 32UCJL
32UCJM Sibsey Quick edit Valid 2013-05-30 32UCJM
32UCJN Skidbrooke with Saltfleet Haven Quick edit Valid 2013-05-30 32UCJN
32UCJP Spilsby Quick edit Valid 2013-05-30 32UCJP
32UCJQ Stickney Quick edit Valid 2013-05-30 32UCJQ
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?