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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

210 concepts found, displaying 21 to 40.First12345678Last
Id Label Status Status Modified Notation
021 Dobrova - Polhov Gradec Quick edit Valid 2013-05-30 021
022 Dol pri Ljubljani Quick edit Valid 2013-05-30 022
023 Domžale Quick edit Valid 2013-05-30 023
024 Dornava Quick edit Valid 2013-05-30 024
025 Dravograd Quick edit Valid 2013-05-30 025
026 Duplek Quick edit Valid 2013-05-30 026
027 Gorenja vas - Poljane Quick edit Valid 2013-05-30 027
028 Gorišnica Quick edit Valid 2013-05-30 028
029 Gornja Radgona Quick edit Valid 2013-05-30 029
030 Gornji Grad Quick edit Valid 2013-05-30 030
031 Gornji Petrovci Quick edit Valid 2013-05-30 031
032 Grosuplje Quick edit Valid 2013-05-30 032
033 Šalovci Quick edit Valid 2013-05-30 033
034 Hrastnik Quick edit Valid 2013-05-30 034
035 Hrpelje - Kozina Quick edit Valid 2013-05-30 035
036 Idrija Quick edit Valid 2013-05-30 036
037 Ig Quick edit Valid 2013-05-30 037
038 Ilirska Bistrica Quick edit Valid 2013-05-30 038
039 Ivančna Gorica Quick edit Valid 2013-05-30 039
040 Isola Quick edit Valid 2013-05-30 040
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?