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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 801 to 820.First3738394041424344Last
Id Label Status Status Modified Notation
092785250 092785250 Quick edit Valid 2013-06-05 092785250
092785252 092785252 Quick edit Valid 2013-06-05 092785252
092785256 092785256 Quick edit Valid 2013-06-05 092785256
092785257 092785257 Quick edit Valid 2013-06-05 092785257
092795208 092795208 Quick edit Valid 2013-06-05 092795208
093715301 093715301 Quick edit Valid 2013-06-05 093715301
093715302 093715302 Quick edit Valid 2013-06-05 093715302
093715303 093715303 Quick edit Valid 2013-06-05 093715303
093715304 093715304 Quick edit Valid 2013-06-05 093715304
093719444 093719444 Quick edit Valid 2013-06-05 093719444
093725308 093725308 Quick edit Valid 2013-06-05 093725308
093725310 093725310 Quick edit Valid 2013-06-05 093725310
093725312 093725312 Quick edit Valid 2013-06-05 093725312
093725313 093725313 Quick edit Valid 2013-06-05 093725313
093725317 093725317 Quick edit Valid 2013-06-05 093725317
093725318 093725318 Quick edit Valid 2013-06-05 093725318
093735321 093735321 Quick edit Valid 2013-06-05 093735321
093745323 093745323 Quick edit Valid 2013-06-05 093745323
093745324 093745324 Quick edit Valid 2013-06-05 093745324
093745325 093745325 Quick edit Valid 2013-06-05 093745325
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?