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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

3,441 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
02027 Botanic A Quick edit Valid 2013-05-30 02027
02028 Botanic B Quick edit Valid 2013-05-30 02028
02029 Botanic C Quick edit Valid 2013-05-30 02029
02030 Cabra East A Quick edit Valid 2013-05-30 02030
02031 Cabra East B Quick edit Valid 2013-05-30 02031
02032 Cabra East C Quick edit Valid 2013-05-30 02032
02033 Cabra West A Quick edit Valid 2013-05-30 02033
02034 Cabra West B Quick edit Valid 2013-05-30 02034
02035 Cabra West C Quick edit Valid 2013-05-30 02035
02036 Cabra West D Quick edit Valid 2013-05-30 02036
02037 Clontarf East A Quick edit Valid 2013-05-30 02037
02038 Clontarf East B Quick edit Valid 2013-05-30 02038
02039 Clontarf East C Quick edit Valid 2013-05-30 02039
02040 Clontarf East D Quick edit Valid 2013-05-30 02040
02041 Clontarf East E Quick edit Valid 2013-05-30 02041
02042 Clontarf West A Quick edit Valid 2013-05-30 02042
02043 Clontarf West B Quick edit Valid 2013-05-30 02043
02044 Clontarf West C Quick edit Valid 2013-05-30 02044
02045 Clontarf West D Quick edit Valid 2013-05-30 02045
02046 Clontarf West E Quick edit Valid 2013-05-30 02046
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?