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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:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

13 concepts found, displaying all concepts.
Id Label Status Status Modified Notation
all All Quick edit Valid 2022-03-15 all
confidential Confidential Quick edit Valid 2022-03-15 confidential
no No Quick edit Valid 2022-03-15 no
none None Quick edit Valid 2022-03-15 none
notApplicable Not applicable Quick edit Valid 2022-03-15 notApplicable
notAvailable Not available Quick edit Valid 2022-03-15 notAvailable
notRelevant Not relevant Quick edit Valid 2022-03-15 notRelevant
partially Partially Quick edit Valid 2022-03-15 partially
rbmp River Basin Management Plan Quick edit Valid 2022-03-15 rbmp
some Some Quick edit Valid 2022-03-15 some
unclear Unclear Quick edit Valid 2022-03-15 unclear
unknown Unknown Quick edit Valid 2022-03-15 unknown
yes Yes Quick edit Valid 2022-03-15 yes
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?