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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 9,321 to 9,340.First463464465466467468469470Last
Id Label Status Status Modified Notation
43ULGQ Farnham Castle Quick edit Valid 2013-05-30 43ULGQ
43ULGR Farnham Firgrove Quick edit Valid 2013-05-30 43ULGR
43ULGS Farnham Hale and Heath End Quick edit Valid 2013-05-30 43ULGS
43ULGT Farnham Moor Park Quick edit Valid 2013-05-30 43ULGT
43ULGU Farnham Shortheath and Boundstone Quick edit Valid 2013-05-30 43ULGU
43ULGW Farnham Upper Hale Quick edit Valid 2013-05-30 43ULGW
43ULGX Farnham Weybourne and Badshot Lea Quick edit Valid 2013-05-30 43ULGX
43ULGY Farnham Wrecclesham and Rowledge Quick edit Valid 2013-05-30 43ULGY
43ULGZ Frensham, Dockenfield and Tilford Quick edit Valid 2013-05-30 43ULGZ
43ULHA Godalming Binscombe Quick edit Valid 2013-05-30 43ULHA
43ULHB Godalming Central and Ockford Quick edit Valid 2013-05-30 43ULHB
43ULHC Godalming Charterhouse Quick edit Valid 2013-05-30 43ULHC
43ULHD Godalming Farncombe and Catteshall Quick edit Valid 2013-05-30 43ULHD
43ULHE Godalming Holloway Quick edit Valid 2013-05-30 43ULHE
43ULHF Haslemere Critchmere and Shottermill Quick edit Valid 2013-05-30 43ULHF
43ULHG Haslemere East and Grayswood Quick edit Valid 2013-05-30 43ULHG
43ULHH Hindhead Quick edit Valid 2013-05-30 43ULHH
43ULHJ Milford Quick edit Valid 2013-05-30 43ULHJ
43ULHK Shamley Green and Cranleigh North Quick edit Valid 2013-05-30 43ULHK
43ULHL Witley and Hambledon Quick edit Valid 2013-05-30 43ULHL
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?