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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 841 to 860.First3940414243444546Last
Id Label Status Status Modified Notation
093765346 093765346 Quick edit Valid 2013-06-05 093765346
093769444 093769444 Quick edit Valid 2013-06-05 093769444
093775347 093775347 Quick edit Valid 2013-06-05 093775347
093775348 093775348 Quick edit Valid 2013-06-05 093775348
093775349 093775349 Quick edit Valid 2013-06-05 093775349
093775350 093775350 Quick edit Valid 2013-06-05 093775350
093775351 093775351 Quick edit Valid 2013-06-05 093775351
093779444 093779444 Quick edit Valid 2013-06-05 093779444
094715401 094715401 Quick edit Valid 2013-06-05 094715401
094715403 094715403 Quick edit Valid 2013-06-05 094715403
094715406 094715406 Quick edit Valid 2013-06-05 094715406
094715407 094715407 Quick edit Valid 2013-06-05 094715407
094715408 094715408 Quick edit Valid 2013-06-05 094715408
094715445 094715445 Quick edit Valid 2013-06-05 094715445
094719444 094719444 Quick edit Valid 2013-06-05 094719444
094725412 094725412 Quick edit Valid 2013-06-05 094725412
094725413 094725413 Quick edit Valid 2013-06-05 094725413
094725414 094725414 Quick edit Valid 2013-06-05 094725414
094725415 094725415 Quick edit Valid 2013-06-05 094725415
094725416 094725416 Quick edit Valid 2013-06-05 094725416
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?