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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

1,344 concepts found, displaying 861 to 880.First4041424344454647Last
Id Label Status Status Modified Notation
094725417 094725417 Quick edit Valid 2013-06-05 094725417
094729444 094729444 Quick edit Valid 2013-06-05 094729444
094735418 094735418 Quick edit Valid 2013-06-05 094735418
094739444 094739444 Quick edit Valid 2013-06-05 094739444
094745420 094745420 Quick edit Valid 2013-06-05 094745420
094745422 094745422 Quick edit Valid 2013-06-05 094745422
094745423 094745423 Quick edit Valid 2013-06-05 094745423
094745425 094745425 Quick edit Valid 2013-06-05 094745425
094745426 094745426 Quick edit Valid 2013-06-05 094745426
094745427 094745427 Quick edit Valid 2013-06-05 094745427
094755428 094755428 Quick edit Valid 2013-06-05 094755428
094755430 094755430 Quick edit Valid 2013-06-05 094755430
094755431 094755431 Quick edit Valid 2013-06-05 094755431
094755432 094755432 Quick edit Valid 2013-06-05 094755432
094759444 094759444 Quick edit Valid 2013-06-05 094759444
094765433 094765433 Quick edit Valid 2013-06-05 094765433
094765434 094765434 Quick edit Valid 2013-06-05 094765434
094769444 094769444 Quick edit Valid 2013-06-05 094769444
094775435 094775435 Quick edit Valid 2013-06-05 094775435
094775436 094775436 Quick edit Valid 2013-06-05 094775436
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?