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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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
094775437 094775437 Quick edit Valid 2013-06-05 094775437
094775438 094775438 Quick edit Valid 2013-06-05 094775438
094775439 094775439 Quick edit Valid 2013-06-05 094775439
094785441 094785441 Quick edit Valid 2013-06-05 094785441
094785446 094785446 Quick edit Valid 2013-06-05 094785446
094789444 094789444 Quick edit Valid 2013-06-05 094789444
094795442 094795442 Quick edit Valid 2013-06-05 094795442
094795443 094795443 Quick edit Valid 2013-06-05 094795443
094795444 094795444 Quick edit Valid 2013-06-05 094795444
094799444 094799444 Quick edit Valid 2013-06-05 094799444
095715501 095715501 Quick edit Valid 2013-06-05 095715501
095715502 095715502 Quick edit Valid 2013-06-05 095715502
095715504 095715504 Quick edit Valid 2013-06-05 095715504
095715506 095715506 Quick edit Valid 2013-06-05 095715506
095715507 095715507 Quick edit Valid 2013-06-05 095715507
095715508 095715508 Quick edit Valid 2013-06-05 095715508
095715509 095715509 Quick edit Valid 2013-06-05 095715509
095715538 095715538 Quick edit Valid 2013-06-05 095715538
095719444 095719444 Quick edit Valid 2013-06-05 095719444
095725510 095725510 Quick edit Valid 2013-06-05 095725510
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?