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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 81 to 100.First12345678Last
Id Label Status Status Modified Notation
2122312 2122312 Quick edit Valid 2013-06-05 2122312
2122313 2122313 Quick edit Valid 2013-06-05 2122313
2122315 2122315 Quick edit Valid 2013-06-05 2122315
2122318 2122318 Quick edit Valid 2013-06-05 2122318
2122402 2122402 Quick edit Valid 2013-06-05 2122402
2122404 2122404 Quick edit Valid 2013-06-05 2122404
2122416 2122416 Quick edit Valid 2013-06-05 2122416
2122463 2122463 Quick edit Valid 2013-06-05 2122463
2244402 2244402 Quick edit Valid 2013-06-05 2244402
2244403 2244403 Quick edit Valid 2013-06-05 2244403
2244417 2244417 Quick edit Valid 2013-06-05 2244417
2244461 2244461 Quick edit Valid 2013-06-05 2244461
2244507 2244507 Quick edit Valid 2013-06-05 2244507
2244513 2244513 Quick edit Valid 2013-06-05 2244513
2244562 2244562 Quick edit Valid 2013-06-05 2244562
2244571 2244571 Quick edit Valid 2013-06-05 2244571
2244604 2244604 Quick edit Valid 2013-06-05 2244604
2244606 2244606 Quick edit Valid 2013-06-05 2244606
2244609 2244609 Quick edit Valid 2013-06-05 2244609
2244664 2244664 Quick edit Valid 2013-06-05 2244664
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?