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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 821 to 840.First3839404142434445Last
Id Label Status Status Modified Notation
093745326 093745326 Quick edit Valid 2013-06-05 093745326
093745327 093745327 Quick edit Valid 2013-06-05 093745327
093745329 093745329 Quick edit Valid 2013-06-05 093745329
093745330 093745330 Quick edit Valid 2013-06-05 093745330
093745331 093745331 Quick edit Valid 2013-06-05 093745331
093749444 093749444 Quick edit Valid 2013-06-05 093749444
093755332 093755332 Quick edit Valid 2013-06-05 093755332
093755333 093755333 Quick edit Valid 2013-06-05 093755333
093755334 093755334 Quick edit Valid 2013-06-05 093755334
093755335 093755335 Quick edit Valid 2013-06-05 093755335
093755336 093755336 Quick edit Valid 2013-06-05 093755336
093755337 093755337 Quick edit Valid 2013-06-05 093755337
093755338 093755338 Quick edit Valid 2013-06-05 093755338
093759444 093759444 Quick edit Valid 2013-06-05 093759444
093765339 093765339 Quick edit Valid 2013-06-05 093765339
093765341 093765341 Quick edit Valid 2013-06-05 093765341
093765342 093765342 Quick edit Valid 2013-06-05 093765342
093765343 093765343 Quick edit Valid 2013-06-05 093765343
093765344 093765344 Quick edit Valid 2013-06-05 093765344
093765345 093765345 Quick edit Valid 2013-06-05 093765345
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?