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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 9,121 to 9,140.First453454455456457458459460Last
Id Label Status Status Modified Notation
42UGHZ Seckford Quick edit Valid 2013-05-30 42UGHZ
42UGJA Snape Quick edit Valid 2013-05-30 42UGJA
42UGJB Sutton Quick edit Valid 2013-05-30 42UGJB
42UGJC Trimleys with Kirton Quick edit Valid 2013-05-30 42UGJC
42UGJD Walberswick and Wenhaston Quick edit Valid 2013-05-30 42UGJD
42UGJE Wickham Market Quick edit Valid 2013-05-30 42UGJE
42UGJF Witnesham Quick edit Valid 2013-05-30 42UGJF
42UGJG Yoxford Quick edit Valid 2013-05-30 42UGJG
42UHFY Beccles North Quick edit Valid 2013-05-30 42UHFY
42UHFZ Beccles South Quick edit Valid 2013-05-30 42UHFZ
42UHGA Blything Quick edit Valid 2013-05-30 42UHGA
42UHGB Bungay Quick edit Valid 2013-05-30 42UHGB
42UHGC Carlton Quick edit Valid 2013-05-30 42UHGC
42UHGD Carlton Colville Quick edit Valid 2013-05-30 42UHGD
42UHGE Gunton and Corton Quick edit Valid 2013-05-30 42UHGE
42UHGF Halesworth Quick edit Valid 2013-05-30 42UHGF
42UHGG Harbour Quick edit Valid 2013-05-30 42UHGG
42UHGH Kessingland Quick edit Valid 2013-05-30 42UHGH
42UHGJ Kirkley Quick edit Valid 2013-05-30 42UHGJ
42UHGK Lothingland Quick edit Valid 2013-05-30 42UHGK
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?