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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
skos:narrowMatch 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

379 concepts found, displaying 161 to 180.First56789101112Last
Id Label Status Status Modified Notation
3183506 3183506 Quick edit Valid 2013-06-05 3183506
3183510 3183510 Quick edit Valid 2013-06-05 3183510
3183515 3183515 Quick edit Valid 2013-06-05 3183515
3183516 3183516 Quick edit Valid 2013-06-05 3183516
3183519 3183519 Quick edit Valid 2013-06-05 3183519
3183563 3183563 Quick edit Valid 2013-06-05 3183563
3183603 3183603 Quick edit Valid 2013-06-05 3183603
3183608 3183608 Quick edit Valid 2013-06-05 3183608
3183611 3183611 Quick edit Valid 2013-06-05 3183611
3183612 3183612 Quick edit Valid 2013-06-05 3183612
3183618 3183618 Quick edit Valid 2013-06-05 3183618
3183620 3183620 Quick edit Valid 2013-06-05 3183620
3183664 3183664 Quick edit Valid 2013-06-05 3183664
3203702 3203702 Quick edit Valid 2013-06-05 3203702
3203711 3203711 Quick edit Valid 2013-06-05 3203711
3203761 3203761 Quick edit Valid 2013-06-05 3203761
3203803 3203803 Quick edit Valid 2013-06-05 3203803
3203805 3203805 Quick edit Valid 2013-06-05 3203805
3203806 3203806 Quick edit Valid 2013-06-05 3203806
3203807 3203807 Quick edit Valid 2013-06-05 3203807
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?