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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 361 to 379.First1213141516171819NextLast
Id Label Status Status Modified Notation
6285404 6285404 Quick edit Valid 2013-06-05 6285404
6285407 6285407 Quick edit Valid 2013-06-05 6285407
6285412 6285412 Quick edit Valid 2013-06-05 6285412
6285415 6285415 Quick edit Valid 2013-06-05 6285415
6285461 6285461 Quick edit Valid 2013-06-05 6285461
6285505 6285505 Quick edit Valid 2013-06-05 6285505
6285506 6285506 Quick edit Valid 2013-06-05 6285506
6285513 6285513 Quick edit Valid 2013-06-05 6285513
6285516 6285516 Quick edit Valid 2013-06-05 6285516
6285518 6285518 Quick edit Valid 2013-06-05 6285518
6285519 6285519 Quick edit Valid 2013-06-05 6285519
6285601 6285601 Quick edit Valid 2013-06-05 6285601
6285608 6285608 Quick edit Valid 2013-06-05 6285608
6285609 6285609 Quick edit Valid 2013-06-05 6285609
6285610 6285610 Quick edit Valid 2013-06-05 6285610
6285611 6285611 Quick edit Valid 2013-06-05 6285611
6285614 6285614 Quick edit Valid 2013-06-05 6285614
6285617 6285617 Quick edit Valid 2013-06-05 6285617
6285662 6285662 Quick edit Valid 2013-06-05 6285662
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?